Volkan Cevher - RankMe

501 papers A* 116A 18B 13C 1Misc 26Journal 262Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BLUR: A Bi-Level Optimization Approach for LLM Unlearning. EACL (Volume 1: Long Papers) Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2026	J	`jnl`	Direct Preference Optimization with Rating Information: Practical Algorithms and Provable Gains. CoRR Luca Viano, Ruida Zhou, Yifan Sun, Mahdi Namazifar, Volkan Cevher, Shoham Sabach, Mohammad Ghavamzadeh
2026	J	`jnl`	Easy Data Unlearning Bench. CoRR Roy Rinberg, Pol Puigdemont, Martin Pawelczyk, Volkan Cevher
2026	J	`jnl`	Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. CoRR Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro
2026	J	`jnl`	MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training. CoRR Wanyun Xie, Francesco Tonin, Volkan Cevher
2026	J	`jnl`	Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning. CoRR Antoine Bergerault, Volkan Cevher, Negar Mehr
2026	J	`jnl`	Multi-Step Alignment as Markov Games: An Optimistic Online Mirror Descent Approach with Convergence Guarantees. Trans. Mach. Learn. Res. Yongtao Wu, Luca Viano, Kimon Antonakopoulos, Yihang Chen, Zhenyu Zhu, Quanquan Gu, Volkan Cevher
2026	J	`jnl`	Multi-agent imitation learning with function approximation: Linear Markov games and beyond. CoRR Luca Viano, Till Freihaut, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2026	J	`jnl`	On the Role of Batch Size in Stochastic Conditional Gradient Methods. CoRR Rustem Islamov, Roman Machacek, Aurélien Lucchi, Antonio Silveti-Falls, Eduard Gorbunov, Volkan Cevher
2026	J	`jnl`	Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution. CoRR Adam Barla, Emanuele Nevali, Luca Viano, Volkan Cevher
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. CoRR Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. Trans. Mach. Learn. Res. Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	A*	`conf`	Accelerating Spectral Clustering under Fairness Constraints. ICML Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2025	J	`jnl`	Accelerating Spectral Clustering under Fairness Constraints. CoRR Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2025	J	`jnl`	Addressing Label Shift in Distributed Learning via Entropy Regularization. CoRR Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
2025	A*	`conf`	Addressing Label Shift in Distributed Learning via Entropy Regularization. ICLR Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
2025	A*	`conf`	Adversarial Training for Defense Against Label Poisoning Attacks. ICLR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	J	`jnl`	Adversarial Training for Defense Against Label Poisoning Attacks. CoRR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	J	`jnl`	Ascent Fails to Forget. CoRR Ioannis Mavrothalassitis, Pol Puigdemont, Noam Itzhak Levi, Volkan Cevher
2025	J	`jnl`	BLUR: A Bi-Level Optimization Approach for LLM Unlearning. CoRR Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2025	A*	`conf`	Best of Both Worlds: Regret Minimization versus Minimax Play. ICML Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025	J	`jnl`	Best of Both Worlds: Regret Minimization versus Minimax Play. CoRR Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025	A*	`conf`	Certified Robustness Under Bounded Levenshtein Distance. ICLR Elías Abad-Rocamora, Grigorios Chrysos, Volkan Cevher
2025	J	`jnl`	Certified Robustness Under Bounded Levenshtein Distance. CoRR Elías Abad-Rocamora, Grigorios G. Chrysos, Volkan Cevher
2025	A*	`conf`	Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning. ICML Wanyun Xie, Francesco Tonin, Volkan Cevher
2025	J	`jnl`	Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning. CoRR Wanyun Xie, Francesco Tonin, Volkan Cevher
2025	A*	`conf`	Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. ICML Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher
2025	J	`jnl`	Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. CoRR Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher
2025	J	`jnl`	DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models. CoRR Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst
2025	J	`jnl`	ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining. CoRR Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
2025	A*	`conf`	Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs. ICLR Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher
2025	J	`jnl`	Efficient Large Language Model Inference with Neural Block Linearization. CoRR Mete Erdogan, Francesco Tonin, Volkan Cevher
2025	A*	`conf`	Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. ICLR Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher, Paolo Favaro
2025	A*	`conf`	Generalization of noisy SGD in unbounded non-convex settings. ICML Leello Tadesse Dadi, Volkan Cevher
2025	J	`jnl`	Generalized Gradient Norm Clipping & Non-Euclidean (L CoRR Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, Tony Silveti-Falls, Volkan Cevher
2025	J	`jnl`	Hadamard Product in Deep Learning: Introduction, Advances and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Grigorios G. Chrysos, Yongtao Wu, Razvan Pascanu, Philip H. S. Torr, Volkan Cevher
2025	J	`jnl`	Hadamard product in deep learning: Introduction, Advances and Challenges. CoRR Grigorios G. Chrysos, Yongtao Wu, Razvan Pascanu, Philip Torr, Volkan Cevher
2025	—	`conf`	HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity. ICANN (5) Sonny Achten, Zander Op de Beeck, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
2025	A*	`conf`	How Gradient descent balances features: A dynamical analysis for two-layer neural networks. ICLR Zhenyu Zhu, Fanghui Liu, Volkan Cevher
2025	A*	`conf`	IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic. ICML Stefano Viel, Luca Viano, Volkan Cevher
2025	J	`jnl`	IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic. CoRR Stefano Viel, Luca Viano, Volkan Cevher
2025	—	`conf`	LUME: LLM Unlearning with Multitask Evaluations. EMNLP (Findings) Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	LUME: LLM Unlearning with Multitask Evaluations. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	A*	`conf`	Layer-wise Quantization for Quantized Optimistic Dual Averaging. ICML Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
2025	J	`jnl`	Layer-wise Quantization for Quantized Optimistic Dual Averaging. CoRR Anh Duc Nguyen, Ilia Markov, Frank Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
2025	J	`jnl`	Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning. CoRR Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025	J	`jnl`	Linear Attention for Efficient Bidirectional Sequence Modeling. CoRR Arshia Afzal, Elías Abad-Rocamora, Leyla Naz Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher
2025	J	`jnl`	MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection. CoRR Arshia Afzal, Volkan Cevher, Mahsa Shoaran
2025	J	`jnl`	Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees. CoRR Yongtao Wu, Luca Viano, Yihang Chen, Zhenyu Zhu, Kimon Antonakopoulos, Quanquan Gu, Volkan Cevher
2025	—	`conf`	Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. EMNLP (Findings) Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025	J	`jnl`	Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning. CoRR Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025	A*	`conf`	Quantum-PEFT: Ultra parameter-efficient fine-tuning. ICLR Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
2025	J	`jnl`	Quantum-PEFT: Ultra parameter-efficient fine-tuning. CoRR Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
2025	J	`jnl`	Rate optimal learning of equilibria from data. CoRR Till Freihaut, Luca Viano, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025	J	`jnl`	Robustness in Both Domains: CLIP Needs a Robust Text Encoder. CoRR Elías Abad-Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher
2025	J	`jnl`	Selective Rotary Position Embedding. CoRR Sajad Movahedi, Timur Carstensen, Arshia Afzal, Frank Hutter, Antonio Orvieto, Volkan Cevher
2025	J	`jnl`	SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	Single-pass Detection of Jailbreaking Input in Large Language Models. CoRR Leyla Naz Candogan, Yongtao Wu, Elías Abad-Rocamora, Grigorios G. Chrysos, Volkan Cevher
2025	J	`jnl`	Single-pass Detection of Jailbreaking Input in Large Language Models. Trans. Mach. Learn. Res. Leyla Naz Candogan, Yongtao Wu, Elías Abad-Rocamora, Grigorios Chrysos, Volkan Cevher
2025	A*	`conf`	Training Deep Learning Models with Norm-Constrained LMOs. ICML Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, Volkan Cevher
2025	J	`jnl`	Training Deep Learning Models with Norm-Constrained LMOs. CoRR Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, Volkan Cevher
2025	J	`jnl`	Training Neural Networks at Any Scale. CoRR Thomas Pethick, Kimon Antonakopoulos, Antonio Silveti-Falls, Leena Chennuru Vankadara, Volkan Cevher
2025	—	`conf`	Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. NAACL (Long Papers) Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2025	J	`jnl`	νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints. Trans. Mach. Learn. Res. Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher
2024	J	`jnl`	A unified stochastic approximation framework for learning in games. Math. Program. Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2024	A*	`conf`	Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác
2024	A*	`conf`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2024	—	`conf`	Convergence to Equilibrium of No-Regret Dynamics in Congestion Games. WINE Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
2024	J	`jnl`	Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut
2024	A*	`conf`	Efficient Continual Finite-Sum Minimization. ICLR Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher
2024	J	`jnl`	Efficient Continual Finite-Sum Minimization. CoRR Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher
2024	A*	`conf`	Efficient local linearity regularization to overcome catastrophic overfitting. ICLR Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
2024	J	`jnl`	Efficient local linearity regularization to overcome catastrophic overfitting. CoRR Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher
2024	—	`conf`	Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2024	J	`jnl`	Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2024	A*	`conf`	Generalization of Scaled Deep ResNets in the Mean-Field Regime. ICLR Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Generalization of Scaled Deep ResNets in the Mean-Field Regime. CoRR Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher
2024	A*	`conf`	Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. ICML Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity. CoRR Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
2024	A*	`conf`	High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. ICML Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher
2024	J	`jnl`	High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization. CoRR Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher
2024	A*	`conf`	Imitation Learning in Discounted Linear MDPs without exploration assumptions. ICML Luca Viano, Stratis Skoulakis, Volkan Cevher
2024	J	`jnl`	Imitation Learning in Discounted Linear MDPs without exploration assumptions. CoRR Luca Viano, Stratis Skoulakis, Volkan Cevher
2024	A*	`conf`	Improving SAM Requires Rethinking its Optimization Formulation. ICML Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher
2024	J	`jnl`	Improving SAM Requires Rethinking its Optimization Formulation. CoRR Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher
2024	A*	`conf`	Inference Optimization of Foundation Models on AI Accelerators. KDD Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	J	`jnl`	Inference Optimization of Foundation Models on AI Accelerators. CoRR Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	A	`conf`	Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024	J	`jnl`	Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024	A*	`conf`	Learning to Remove Cuts in Integer Linear Programming. ICML Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Learning to Remove Cuts in Integer Linear Programming. CoRR Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. CoRR Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher
2024	J	`jnl`	Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. J. Mach. Learn. Res. Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher
2024	J	`jnl`	Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks. CoRR Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios G. Chrysos
2024	A*	`conf`	MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024	J	`jnl`	MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024	A*	`conf`	Membership Inference Attacks against Large Vision-Language Models. NeurIPS Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher
2024	J	`jnl`	Membership Inference Attacks against Large Vision-Language Models. CoRR Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher
2024	J	`jnl`	Mixed Nash for Robust Federated Learning. Trans. Mach. Learn. Res. Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher
2024	A*	`conf`	Multilinear Operator Networks. ICLR Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
2024	J	`jnl`	Multilinear Operator Networks. CoRR Yixin Cheng, Grigorios G. Chrysos, Markos Georgopoulos, Volkan Cevher
2024	A*	`conf`	On Feature Learning in Structured State Space Models. NeurIPS Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher
2024	J	`jnl`	On the Generalization of Stochastic Gradient Descent with Momentum. J. Mach. Learn. Res. Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang
2024	J	`jnl`	Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher
2024	A*	`conf`	REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. ICML Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
2024	J	`jnl`	REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates. CoRR Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
2024	A*	`conf`	Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. NeurIPS Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
2024	J	`jnl`	Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
2024	A*	`conf`	Revisiting Character-level Adversarial Attacks for Language Models. ICML Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2024	—	`conf`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. ENLSP Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Thomas Brox, Sheng Zha, George Karypis
2024	J	`jnl`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. CoRR Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis
2024	J	`jnl`	Revisiting character-level adversarial attacks. CoRR Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2024	A*	`conf`	Robust NAS under adversarial training: benchmark, theory, and beyond. ICLR Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
2024	J	`jnl`	Robust NAS under adversarial training: benchmark, theory, and beyond. CoRR Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios G. Chrysos, Volkan Cevher
2024	A*	`conf`	SAMPa: Sharpness-aware Minimization Parallelized. NeurIPS Wanyun Xie, Thomas Pethick, Volkan Cevher
2024	J	`jnl`	SAMPa: Sharpness-aware Minimization Parallelized. CoRR Wanyun Xie, Thomas Pethick, Volkan Cevher
2024	J	`jnl`	The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation. CoRR Daniel Morales-Brotons, Grigorios Chrysos, Stratis Tzoumas, Volkan Cevher
2024	A*	`conf`	Truly No-Regret Learning in Constrained MDPs. ICML Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
2024	J	`jnl`	Truly No-Regret Learning in Constrained MDPs. CoRR Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
2024	A*	`conf`	Universal Gradient Methods for Stochastic Convex Optimization. ICML Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher
2024	J	`jnl`	Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. CoRR Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2024	J	`jnl`	μ P CoRR Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara
2024	A*	`conf`	μP NeurIPS Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara
2023	J	`jnl`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2023	A*	`conf`	Alternation makes the adversary weaker in two-player games. NeurIPS Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
2023	A*	`conf`	Benign Overfitting in Deep Neural Networks under Lazy Training. ICML Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher
2023	J	`jnl`	Benign Overfitting in Deep Neural Networks under Lazy Training. CoRR Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher
2023	A*	`conf`	DiGress: Discrete Denoising diffusion for graph generation. ICLR Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
2023	A*	`conf`	Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. ICLR Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
2023	J	`jnl`	Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. CoRR Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
2023	A*	`conf`	Efficient Online Clustering with Moving Costs. NeurIPS Dimitris Christou, Stratis Skoulakis, Volkan Cevher
2023	J	`jnl`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
2023	C	`conf`	Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
2023	J	`jnl`	Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
2023	A*	`conf`	Exponential Lower Bounds for Fictitious Play in Potential Games. NeurIPS Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
2023	J	`jnl`	Exponential Lower Bounds for Fictitious Play in Potential Games. CoRR Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
2023	J	`jnl`	Federated Learning under Covariate Shifts with Generalization Guarantees. CoRR Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023	J	`jnl`	Federated Learning under Covariate Shifts with Generalization Guarantees. Trans. Mach. Learn. Res. Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023	A*	`conf`	Finding Actual Descent Directions for Adversarial Training. ICLR Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher
2023	A*	`conf`	Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. NeurIPS Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
2023	J	`jnl`	Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. CoRR Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
2023	A*	`conf`	Maximum Independent Set: Self-Training through Dynamic Programming. NeurIPS Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2023	J	`jnl`	Maximum Independent Set: Self-Training through Dynamic Programming. CoRR Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios G. Chrysos, Volkan Cevher
2023	—	`conf`	Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. SOSA Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
2023	J	`jnl`	Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. CoRR Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
2023	A*	`conf`	On the Convergence of Encoder-only Shallow Transformers. NeurIPS Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2023	J	`jnl`	On the Convergence of Encoder-only Shallow Transformers. CoRR Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2023	J	`jnl`	Provable benefits of general coverage conditions in efficient online RL with function approximation. CoRR Fanghui Liu, Luca Viano, Volkan Cevher
2023	A*	`conf`	Regularization of polynomial networks for image recognition. CVPR Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
2023	J	`jnl`	Regularization of polynomial networks for image recognition. CoRR Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher
2023	J	`jnl`	Revisiting adversarial training for the worst-performing class. CoRR Thomas Pethick, Grigorios G. Chrysos, Volkan Cevher
2023	J	`jnl`	Revisiting adversarial training for the worst-performing class. Trans. Mach. Learn. Res. Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023	A*	`conf`	Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. NeurIPS Zhenyu Zhu, Francesco Locatello, Volkan Cevher
2023	J	`jnl`	Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling. CoRR Zhenyu Zhu, Francesco Locatello, Volkan Cevher
2023	J	`jnl`	Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2023	A*	`conf`	Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2023	A*	`conf`	Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	J	`jnl`	Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	A*	`conf`	Stable Nonconvex-Nonconcave Training via Linear Interpolation. NeurIPS Thomas Pethick, Wanyun Xie, Volkan Cevher
2023	J	`jnl`	Stable Nonconvex-Nonconcave Training via Linear Interpolation. CoRR Thomas Pethick, Wanyun Xie, Volkan Cevher
2023	A*	`conf`	What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML Fanghui Liu, Luca Viano, Volkan Cevher
2023	A*	`conf`	When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell
2022	J	`jnl`	A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS. IEEE J. Solid State Circuits Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
2022	A*	`conf`	A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
2022	J	`jnl`	A Newton Frank-Wolfe method for constrained self-concordant minimization. J. Glob. Optim. Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
2022	A*	`conf`	Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. NeurIPS Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
2022	J	`jnl`	Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. CoRR Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
2022	J	`jnl`	Adversarial Audio Synthesis with Complex-valued Polynomial Networks. CoRR Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher
2022	A*	`conf`	Controlling the Complexity and Lipschitz Constant improves Polynomial Nets. ICLR Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher
2022	J	`jnl`	Controlling the Complexity and Lipschitz Constant improves polynomial nets. CoRR Zhenyu Zhu, Fabian Latorre, Grigorios G. Chrysos, Volkan Cevher
2022	J	`jnl`	DiGress: Discrete Denoising diffusion for graph generation. CoRR Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
2022	A*	`conf`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
2022	A*	`conf`	Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. NeurIPS Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
2022	J	`jnl`	Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. CoRR Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
2022	A*	`conf`	Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. NeurIPS Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022	J	`jnl`	Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study. CoRR Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2022	A	`conf`	Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022	J	`jnl`	Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
2022	A*	`conf`	Generalization Properties of NAS under Activation and Skip Connection Search. NeurIPS Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022	J	`jnl`	Generalization Properties of NAS under Activation and Skip Connection Search. CoRR Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2022	A*	`conf`	High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
2022	J	`jnl`	High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
2022	A*	`conf`	Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022	J	`jnl`	Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022	J	`jnl`	Learning in games from a stochastic approximation viewpoint. CoRR Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher
2022	J	`jnl`	No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation. CoRR Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022	A*	`conf`	No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. NeurIPS Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022	J	`jnl`	On the Complexity of a Practical Primal-Dual Coordinate Method. CoRR Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
2022	J	`jnl`	On the Convergence of Stochastic Primal-Dual Hybrid Gradient. SIAM J. Optim. Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2022	A*	`conf`	On the Double Descent of Random Features Models Trained with SGD. NeurIPS Fanghui Liu, Johan A. K. Suykens, Volkan Cevher
2022	A*	`conf`	Proximal Point Imitation Learning. NeurIPS Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
2022	J	`jnl`	Proximal Point Imitation Learning. CoRR Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
2022	A*	`conf`	Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022	J	`jnl`	Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). CoRR Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2022	A*	`conf`	Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models. ICML Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
2022	J	`jnl`	Score matching enables causal discovery of nonlinear additive noise models. CoRR Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Bernhard Schölkopf, Dominik Janzing, Francesco Locatello
2022	A*	`conf`	Sound and Complete Verification of Polynomial Networks. NeurIPS Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022	J	`jnl`	Sound and Complete Verification of Polynomial Networks. CoRR Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
2022	A*	`conf`	The Spectral Bias of Polynomial Neural Networks. ICLR Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2022	J	`jnl`	The Spectral Bias of Polynomial Neural Networks. CoRR Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2022	A*	`conf`	UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees. ICML Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Y. Levy, Panayotis Mertikopoulos
2022	A*	`conf`	Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration. NeurIPS Fanghui Liu, Luca Viano, Volkan Cevher
2022	J	`jnl`	Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. CoRR Fanghui Liu, Luca Viano, Volkan Cevher
2021	—	`conf`	A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS. CICC Arda Uran, Kerim Türe, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Azita Emami, Stéphanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
2021	Misc	`conf`	A Plug-and-Play Deep Image Prior. ICASSP Zhaodong Sun, Fabian Latorre, Thomas Sanchez, Volkan Cevher
2021	A*	`conf`	A first-order primal-dual method with adaptivity to local smoothness. NeurIPS Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	A first-order primal-dual method with adaptivity to local smoothness. CoRR Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2021	A*	`conf`	Convergence of adaptive algorithms for constrained weakly convex optimization. NeurIPS Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	Forward-reflected-backward method with variance reduction. Comput. Optim. Appl. Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2021	J	`jnl`	On the Double Descent of Random Features Models Trained with SGD. CoRR Fanghui Liu, Johan A. K. Suykens, Volkan Cevher
2021	A*	`conf`	Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach. ICML Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
2021	A*	`conf`	Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
2021	J	`jnl`	STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization. CoRR Kfir Y. Levy, Ali Kavis, Volkan Cevher
2021	A*	`conf`	STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization. NeurIPS Kfir Y. Levy, Ali Kavis, Volkan Cevher
2021	J	`jnl`	Scalable Semidefinite Programming. SIAM J. Math. Data Sci. Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2021	J	`jnl`	Self-Supervised Neural Architecture Search for Imbalanced Datasets. CoRR Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher
2021	A*	`conf`	Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher
2021	A*	`conf`	Subquadratic Overparameterization for Shallow Neural Networks. NeurIPS Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
2021	J	`jnl`	Subquadratic Overparameterization for Shallow Neural Networks. CoRR Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
2021	A*	`conf`	The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. NeurIPS Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher
2021	A*	`conf`	The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization. CoRR Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
2020	A*	`conf`	A new regret analysis for Adam-type algorithms. ICML Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	A new regret analysis for Adam-type algorithms. CoRR Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	An adaptive primal-dual framework for nonsmooth convex minimization. Math. Program. Comput. Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	A*	`conf`	Conditional gradient methods for stochastically constrained convex minimization. ICML Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	J	`jnl`	Conditional gradient methods for stochastically constrained convex minimization. CoRR Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
2020	J	`jnl`	Convergence of adaptive algorithms for weakly convex constrained optimization. CoRR Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
2020	J	`jnl`	Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections. J. Mach. Learn. Res. Junhong Lin, Volkan Cevher
2020	A*	`conf`	Double-Loop Unadjusted Langevin Algorithm. ICML Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
2020	J	`jnl`	Double-Loop Unadjusted Langevin Algorithm. CoRR Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
2020	A*	`conf`	Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. ICML Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher
2020	J	`jnl`	Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. CoRR Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher
2020	J	`jnl`	Environment Shaping in Reinforcement Learning using State Abstraction. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2020	J	`jnl`	Interaction-limited Inverse Reinforcement Learning. CoRR Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher
2020	A*	`conf`	Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. ICLR Fabian Latorre, Paul Rolland, Volkan Cevher
2020	J	`jnl`	Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. CoRR Fabian Latorre, Paul Rolland, Volkan Cevher
2020	J	`jnl`	Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione
2020	A*	`conf`	On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
2020	J	`jnl`	On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
2020	J	`jnl`	Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms. J. Mach. Learn. Res. Junhong Lin, Volkan Cevher
2020	J	`jnl`	Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
2020	A*	`conf`	Random extrapolation for primal-dual coordinate descent. ICML Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	J	`jnl`	Random extrapolation for primal-dual coordinate descent. CoRR Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	J	`jnl`	Regret minimization in stochastic non-convex learning via a proximal-gradient approach. CoRR Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
2020	J	`jnl`	Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
2020	A*	`conf`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	J	`jnl`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	Misc	`conf`	Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. ICASSP Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher
2020	J	`jnl`	The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher
2019	A*	`conf`	A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	J	`jnl`	A Learning-Based Framework for Quantized Compressed Sensing. IEEE Signal Process. Lett. Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher
2019	A*	`conf`	Almost surely constrained convex optimization. ICML Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher
2019	A*	`conf`	An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. NeurIPS Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre, Volkan Cevher
2019	J	`jnl`	An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation. CoRR Jonathan Scarlett, Volkan Cevher
2019	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2019	A*	`conf`	Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. ICML Alp Yurtsever, Suvrit Sra, Volkan Cevher
2019	J	`jnl`	Convergence of the Exponentiated Gradient Method with Armijo Line Search. J. Optim. Theory Appl. Yen-Huan Li, Volkan Cevher
2019	A*	`conf`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher
2019	A*	`conf`	Fast and Provable ADMM for Learning with Generative Priors. NeurIPS Fabian Latorre, Armin Eftekhari, Volkan Cevher
2019	J	`jnl`	Fast and Provable ADMM for Learning with Generative Priors. CoRR Fabian Latorre Gómez, Armin Eftekhari, Volkan Cevher
2019	A*	`conf`	Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML Ya-Ping Hsieh, Chen Liu, Volkan Cevher
2019	A*	`conf`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	J	`jnl`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	A*	`conf`	Iterative Classroom Teaching. AAAI Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2019	A*	`conf`	On Certifying Non-Uniform Bounds against Adversarial Attacks. ICML Chen Liu, Ryota Tomioka, Volkan Cevher
2019	J	`jnl`	On Certifying Non-uniform Bound against Adversarial Attacks. CoRR Chen Liu, Ryota Tomioka, Volkan Cevher
2019	J	`jnl`	On the linear convergence of the stochastic gradient method with constant step-size. Optim. Lett. Volkan Cevher, Bang Công Vu
2019	J	`jnl`	Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
2019	B	`conf`	Overlapping Multi-Bandit Best Arm Identification. ISIT Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2019	—	`conf`	Rethinking Sampling in Parallel MRI: A Data-Driven Approach. EUSIPCO Baran Gözcü, Thomas Sanchez, Volkan Cevher
2019	J	`jnl`	Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. CoRR Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Efe Ilicak, Tolga Çukur, Volkan Cevher
2019	J	`jnl`	Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	A*	`conf`	Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	A*	`conf`	UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. NeurIPS Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
2019	J	`jnl`	UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. CoRR Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
2018	A*	`conf`	A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
2018	J	`jnl`	A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
2018	J	`jnl`	A Single-Phase, Proximal Path-Following Framework. Math. Oper. Res. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2018	J	`jnl`	A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization. SIAM J. Optim. Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2018	J	`jnl`	Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants. IEEE Trans. Circuits Syst. I Regul. Pap. Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
2018	A*	`conf`	Adversarially Robust Optimization with Gaussian Processes. NeurIPS Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher
2018	J	`jnl`	Adversarially Robust Optimization with Gaussian Processes. CoRR Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher
2018	J	`jnl`	An Eight-Lane 7-Gb/s/pin Source Synchronous Single-Ended RX With Equalization and Far-End Crosstalk Cancellation for Backplane Channels. IEEE J. Solid State Circuits Cosimo Aprile, Alessandro Cevrero, Pier Andrea Francese, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl
2018	—	`conf`	An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems. CF Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
2018	A	`conf`	Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS Marwa El Halabi, Francis R. Bach, Volkan Cevher
2018	B	`conf`	Dimension-free Information Concentration via Exp-Concavity. ALT Ya-Ping Hsieh, Volkan Cevher
2018	J	`jnl`	Dimension-free Information Concentration via Exp-Concavity. CoRR Ya-Ping Hsieh, Volkan Cevher
2018	J	`jnl`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher
2018	J	`jnl`	Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR Ya-Ping Hsieh, Chen Liu, Volkan Cevher
2018	A	`conf`	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2018	J	`jnl`	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2018	J	`jnl`	Iterative Classroom Teaching. CoRR Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2018	J	`jnl`	Kernel Conjugate Gradient Methods with Random Projections. CoRR Junhong Lin, Volkan Cevher
2018	J	`jnl`	Learning-Based Compressive MRI. CoRR Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2018	J	`jnl`	Learning-Based Compressive MRI. IEEE Trans. Medical Imaging Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2018	A*	`conf`	Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. ICML Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
2018	J	`jnl`	Let's be honest: An optimal no-regret framework for zero-sum games. CoRR Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher
2018	A*	`conf`	Mirrored Langevin Dynamics. NeurIPS Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
2018	J	`jnl`	Mirrored Langevin Dynamics. CoRR Ya-Ping Hsieh, Volkan Cevher
2018	B	`conf`	Near-Optimal Noisy Group Testing via Separate Decoding of Items. ISIT Jonathan Scarlett, Volkan Cevher
2018	J	`jnl`	Near-Optimal Noisy Group Testing via Separate Decoding of Items. IEEE J. Sel. Top. Signal Process. Jonathan Scarlett, Volkan Cevher
2018	A*	`conf`	Online Adaptive Methods, Universality and Acceleration. NeurIPS Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher
2018	J	`jnl`	Online Adaptive Methods, Universality and Acceleration. CoRR Kfir Y. Levy, Alp Yurtsever, Volkan Cevher
2018	J	`jnl`	Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms. CoRR Junhong Lin, Volkan Cevher
2018	A*	`conf`	Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. ICML Junhong Lin, Volkan Cevher
2018	J	`jnl`	Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces. CoRR Junhong Lin, Volkan Cevher
2018	A*	`conf`	Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. ICML Junhong Lin, Volkan Cevher
2018	J	`jnl`	Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. CoRR Junhong Lin, Volkan Cevher
2018	—	`conf`	Real-Time DCT Learning-based Reconstruction of Neural Signals. EUSIPCO Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher
2018	A	`conf`	Robust Maximization of Non-Submodular Objectives. AISTATS Ilija Bogunovic, Junyao Zhao, Volkan Cevher
2018	J	`jnl`	Robust Maximization of Non-Submodular Objectives. CoRR Ilija Bogunovic, Junyao Zhao, Volkan Cevher
2018	A	`conf`	Stochastic Three-Composite Convex Minimization with a Linear Operator. AISTATS Renbo Zhao, Volkan Cevher
2017	—	`conf`	A distributed algorithm for partitioned robust submodular maximization. CAMSAP Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
2017	J	`jnl`	An Adaptive Sublinear-Time Block Sparse Fourier Transform. CoRR Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh
2017	A*	`conf`	An adaptive sublinear-time block sparse fourier transform. STOC Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh
2017	J	`jnl`	Combinatorial Penalties: Which structures are preserved by convex relaxations? CoRR Marwa El Halabi, Francis R. Bach, Volkan Cevher
2017	—	`conf`	DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems. Conf. Computing Frontiers Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
2017	J	`jnl`	Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework. CoRR Jonathan Scarlett, Volkan Cevher
2017	A	`conf`	Faster Coordinate Descent via Adaptive Importance Sampling. AISTATS Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
2017	J	`jnl`	Faster Coordinate Descent via Adaptive Importance Sampling. CoRR Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
2017	—	`conf`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	Misc	`conf`	How little does non-exact recovery help in group testing? ICASSP Jonathan Scarlett, Volkan Cevher
2017	J	`jnl`	Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework. IEEE Trans. Inf. Theory Jonathan Scarlett, Volkan Cevher
2017	A	`conf`	Lower Bounds on Active Learning for Graphical Model Selection. AISTATS Jonathan Scarlett, Volkan Cevher
2017	A*	`conf`	Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. COLT Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2017	J	`jnl`	Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. CoRR Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
2017	—	`conf`	Phase Transitions in the Pooled Data Problem. NIPS Jonathan Scarlett, Volkan Cevher
2017	J	`jnl`	Phase Transitions in the Pooled Data Problem. CoRR Jonathan Scarlett, Volkan Cevher
2017	J	`jnl`	Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	A*	`conf`	Robust Submodular Maximization: A Non-Uniform Partitioning Approach. ICML Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
2017	J	`jnl`	Robust Submodular Maximization: A Non-Uniform Partitioning Approach. CoRR Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher
2017	A	`conf`	Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
2017	—	`conf`	Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. NIPS Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2017	—	`conf`	Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. NIPS Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
2017	J	`jnl`	Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. CoRR Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
2016	J	`jnl`	A single-phase, proximal path-following framework. CoRR Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2016	J	`jnl`	Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2016	—	`conf`	An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher
2016	J	`jnl`	An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher
2016	J	`jnl`	Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization. IEEE Trans. Signal Process. Afsaneh Asaei, Mohammad Javad Taghizadeh, Saeid Haghighatshoar, Bhiksha Raj, Hervé Bourlard, Volkan Cevher
2016	J	`jnl`	Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis. Speech Commun. Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher
2016	J	`jnl`	Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices. CoRR Jonathan Scarlett, Volkan Cevher
2016	B	`conf`	Converse bounds for noisy group testing with arbitrary measurement matrices. ISIT Jonathan Scarlett, Volkan Cevher
2016	A	`conf`	Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	J	`jnl`	Convex block-sparse linear regression with expanders - provably. CoRR Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	—	`conf`	Estimation error of the constrained lasso. Allerton Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher
2016	J	`jnl`	Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices. IEEE Trans. Inf. Theory Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2016	Misc	`conf`	Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
2016	J	`jnl`	Group-Sparse Model Selection: Hardness and Relaxations. IEEE Trans. Inf. Theory Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi
2016	J	`jnl`	Learning Data Triage: Linear Decoding Works for Compressive MRI. CoRR Yen-Huan Li, Volkan Cevher
2016	Misc	`conf`	Learning data triage: Linear decoding works for compressive MRI. ICASSP Yen-Huan Li, Volkan Cevher
2016	J	`jnl`	Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
2016	—	`conf`	Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition. ACM Great Lakes Symposium on VLSI Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
2016	A	`conf`	Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices. AISTATS Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	Lower Bounds on Active Learning for Graphical Model Selection. CoRR Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	On the Difficulty of Selecting Ising Models With Approximate Recovery. IEEE Trans. Signal Inf. Process. over Networks Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	On the Difficulty of Selecting Ising Models with Approximate Recovery. CoRR Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	Partial Recovery Bounds for the Sparse Stochastic Block Model. CoRR Jonathan Scarlett, Volkan Cevher
2016	B	`conf`	Partial recovery bounds for the sparse stochastic block model. ISIT Jonathan Scarlett, Volkan Cevher
2016	A*	`conf`	Phase Transitions in Group Testing. SODA Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	Randomized single-view algorithms for low-rank matrix approximation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2016	J	`jnl`	Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher
2016	—	`conf`	Stochastic Three-Composite Convex Minimization. NIPS Alp Yurtsever, Bang Công Vu, Volkan Cevher
2016	A	`conf`	Time-Varying Gaussian Process Bandit Optimization. AISTATS Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
2016	J	`jnl`	Time-Varying Gaussian Process Bandit Optimization. CoRR Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
2016	—	`conf`	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. NIPS Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher
2016	J	`jnl`	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. CoRR Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher
2015	—	`conf`	A 5.9mW/Gb/s 7Gb/s/pin 8-lane single-ended RX with crosstalk cancellation scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS. VLSIC Alessandro Cevrero, Cosimo Aprile, Pier Andrea Francese, Urs Bapst, Christian Menolfi, Matthias Braendli, Marcel A. Kossel, Thomas Morf, Lukas Kull, Hazar Yueksel, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl
2015	—	`conf`	A Universal Primal-Dual Convex Optimization Framework. NIPS Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher
2015	B	`conf`	A concentration-of-measure inequality for multiple-measurement models. ISIT Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2015	—	`conf`	A primal-dual framework for mixtures of regularizers. EUSIPCO Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher
2015	A	`conf`	A totally unimodular view of structured sparsity. AISTATS Marwa El Halabi, Volkan Cevher
2015	Misc	`conf`	Active learning of self-concordant like multi-index functions. ICASSP Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett
2015	J	`jnl`	Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	—	`conf`	Composite Convex Minimization Involving Self-concordant-Like Cost Functions. MCO (1) Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
2015	J	`jnl`	Composite self-concordant minimization. J. Mach. Learn. Res. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2015	Misc	`conf`	Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression. ICASSP Yen-Huan Li, Volkan Cevher
2015	J	`jnl`	Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE J. Sel. Top. Signal Process. John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2015	Misc	`conf`	Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	J	`jnl`	Introduction to the issue on signal processing for big data. IEEE J. Sel. Top. Signal Process. Georgios B. Giannakis, Raphael Cendrillon, Volkan Cevher, Ananthram Swami, Zhi Tian
2015	J	`jnl`	Learning-based Compressive Subsampling. CoRR Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
2015	J	`jnl`	Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach. CoRR Jonathan Scarlett, Volkan Cevher
2015	B	`conf`	Limits on support recovery with probabilistic models: An information-theoretic framework. ISIT Jonathan Scarlett, Volkan Cevher
2015	J	`jnl`	Linear Inverse Problems with Norm and Sparsity Constraints. CoRR Volkan Cevher, Sina Jafarpour, Anastasios Kyrillidis
2015	—	`conf`	Preconditioned Spectral Descent for Deep Learning. NIPS David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
2015	—	`conf`	Scalable convex methods for phase retrieval. CAMSAP Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher
2015	J	`jnl`	Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin
2015	B	`conf`	Sparse group covers and greedy tree approximations. ISIT Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher
2015	A	`conf`	Sparsistency of 1-Regularized M-Estimators. AISTATS Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher
2015	A	`conf`	Stochastic Spectral Descent for Restricted Boltzmann Machines. AISTATS David E. Carlson, Volkan Cevher, Lawrence Carin
2015	J	`jnl`	Structured Sparsity: Discrete and Convex approaches. CoRR Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
2015	—	`conf`	Structured sampling and recovery of iEEG signals. CAMSAP Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
2015	A	`conf`	WASP: Scalable Bayes via barycenters of subset posteriors. AISTATS Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson
2015	J	`jnl`	What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. Algorithmica Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss
2014	J	`jnl`	A totally unimodular view of structured sparsity. CoRR Marwa El Halabi, Volkan Cevher
2014	A	`conf`	A variational approach to stable principal component pursuit. UAI Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen
2014	J	`jnl`	An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization. SIAM J. Optim. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2014	Misc	`conf`	Barrier smoothing for nonsmooth convex minimization. ICASSP Quoc Tran-Dinh, Yen-Huan Li, Volkan Cevher
2014	J	`jnl`	Bilinear Generalized Approximate Message Passing - Part I: Derivation. IEEE Trans. Signal Process. Jason T. Parker, Philip Schniter, Volkan Cevher
2014	J	`jnl`	Bilinear Generalized Approximate Message Passing - Part II: Applications. IEEE Trans. Signal Process. Jason T. Parker, Philip Schniter, Volkan Cevher
2014	—	`conf`	Constrained convex minimization via model-based excessive gap. NIPS Quoc Tran-Dinh, Volkan Cevher
2014	J	`jnl`	Convex Optimization for Big Data. CoRR Volkan Cevher, Stephen Becker, Mark Schmidt
2014	J	`jnl`	Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics. IEEE Signal Process. Mag. Volkan Cevher, Stephen Becker, Mark Schmidt
2014	J	`jnl`	Convexity in Source Separation : Models, geometry, and algorithms. IEEE Signal Process. Mag. Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
2014	—	`conf`	Map estimation for Bayesian mixture models with submodular priors. MLSP Marwa El Halabi, Luca Baldassarre, Volkan Cevher
2014	J	`jnl`	Matrix Recipes for Hard Thresholding Methods. J. Math. Imaging Vis. Anastasios Kyrillidis, Volkan Cevher
2014	Misc	`conf`	Metric learning with rank and sparsity constraints. ICASSP Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu
2014	A*	`conf`	Model-based Sketching and Recovery with Expanders. SODA Bubacarr Bah, Luca Baldassarre, Volkan Cevher
2014	Misc	`conf`	Model-based sparse component analysis for reverberant speech localization. ICASSP Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher
2014	A*	`conf`	Scalable Sparse Covariance Estimation via Self-Concordance. AAAI Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
2014	J	`jnl`	Scalable sparse covariance estimation via self-concordance. CoRR Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
2014	J	`jnl`	Structured Sparsity Models for Reverberant Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher
2014	—	`conf`	Time-Data Tradeoffs by Aggressive Smoothing. NIPS John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2013	—	`conf`	A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. ICML (2) Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2013	J	`jnl`	Bilinear Generalized Approximate Message Passing. CoRR Jason T. Parker, Philip Schniter, Volkan Cevher
2013	J	`jnl`	Composite Self-Concordant Minimization. CoRR Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2013	J	`jnl`	Convexity in source separation: Models, geometry, and algorithms. CoRR Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
2013	J	`jnl`	Energy-aware adaptive bi-Lipschitz embeddings. CoRR Bubacarr Bah, Ali Sadeghian, Volkan Cevher
2013	Misc	`conf`	Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection. ICASSP Anastasios Kyrillidis, Volkan Cevher
2013	J	`jnl`	Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices CoRR Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2013	B	`conf`	Fixed points of generalized approximate message passing with arbitrary matrices. ISIT Sundeep Rangan, Philip Schniter, Erwin Riegler, Alyson K. Fletcher, Volkan Cevher
2013	J	`jnl`	Group-Sparse Model Selection: Hardness and Relaxations CoRR Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis
2013	—	`conf`	High-Dimensional Gaussian Process Bandits. NIPS Josip Djolonga, Andreas Krause, Volkan Cevher
2013	—	`conf`	Manifold sparse beamforming. CAMSAP Baran Gozcu, Afsaneh Asaei, Volkan Cevher
2013	J	`jnl`	Randomized Low-Memory Singular Value Projection CoRR Stephen Becker, Volkan Cevher, Anastasios Kyrillidis
2013	—	`conf`	Sparse projections onto the simplex. ICML (2) Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2013	—	`conf`	Sparse simplex projections for portfolio optimization. GlobalSIP Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2013	—	`conf`	To convexify or not? Regression with clustering penalties on graphs. CAMSAP Marwa El Halabi, Luca Baldassarre, Volkan Cevher
2013	—	`conf`	Tractability of interpretability via selection of group-sparse models. GlobalSIP Nirav Bhan, Luca Baldassarre, Volkan Cevher
2013	B	`conf`	Tractability of interpretability via selection of group-sparse models. ISIT Nirav Bhan, Luca Baldassarre, Volkan Cevher
2012	—	`conf`	Active Learning of Multi-Index Function Models. NIPS Hemant Tyagi, Volkan Cevher
2012	J	`jnl`	Bearing Estimation via Spatial Sparsity using Compressive Sensing. IEEE Trans. Aerosp. Electron. Syst. Ali Cafer Gürbüz, Volkan Cevher, James H. McClellan
2012	J	`jnl`	Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm CoRR Anastasios Kyrillidis, Volkan Cevher
2012	B	`conf`	Combinatorial selection and least absolute shrinkage via the Clash algorithm. ISIT Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory Rémi Gribonval, Volkan Cevher, Mike E. Davies
2012	Misc	`conf`	Computational methods for structured sparse component analysis of convolutive speech mixtures. ICASSP Afsaneh Asaei, Michael E. Davies, Hervé Bourlard, Volkan Cevher
2012	—	`conf`	Equivalence of synthesis and atomic formulations of sparse recovery. SSP Mitra Fatemi, Shayan Dashmiz, Mohammad Hossein Shafinia, Volkan Cevher
2012	Misc	`conf`	Filtered Variation method for denoising and sparse signal processing. ICASSP Kivanç Köse, Volkan Cevher, A. Enis Çetin
2012	Misc	`conf`	Hard thresholding with norm constraints. ICASSP Anastasios Kyrillidis, Gilles Puy, Volkan Cevher
2012	Misc	`conf`	Learning ridge functions with randomized sampling in high dimensions. ICASSP Hemant Tyagi, Volkan Cevher
2012	—	`conf`	MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction. SSP Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction CoRR Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Matrix Recipes for Hard Thresholding Methods CoRR Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Sparse projections onto the simplex CoRR Anastasios Kyrillidis, Stephen Becker, Volkan Cevher
2012	J	`jnl`	Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings CoRR Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard, Volkan Cevher
2012	—	`conf`	Structured sparse coding for microphone array location calibration. SAPA@INTERSPEECH Afsaneh Asaei, Bhiksha Raj, Hervé Bourlard, Volkan Cevher
2012	—	`conf`	What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. APPROX-RANDOM Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss
2011	B	`conf`	A game theoretic approach to expander-based compressive sensing. ISIT Sina Jafarpour, Volkan Cevher, Robert E. Schapire
2011	Misc	`conf`	An ALPS view of sparse recovery. ICASSP Volkan Cevher
2011	J	`jnl`	Compressible Distributions for High-dimensional Statistics. CoRR Rémi Gribonval, Volkan Cevher, Mike E. Davies
2011	Misc	`conf`	Compressive sensing meets game theory. ICASSP Sina Jafarpour, Robert E. Schapire, Volkan Cevher
2011	—	`conf`	Compressive sensing under matrix uncertainties: An Approximate Message Passing approach. ACSCC Jason T. Parker, Volkan Cevher, Philip Schniter
2011	J	`jnl`	Greedy Dictionary Selection for Sparse Representation. IEEE J. Sel. Top. Signal Process. Volkan Cevher, Andreas Krause
2011	J	`jnl`	Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin
2011	Misc	`conf`	Model-based compressive sensing for multi-party distant speech recognition. ICASSP Afsaneh Asaei, Hervé Bourlard, Volkan Cevher
2011	A	`conf`	Multi-Party Speech Recovery Exploiting Structured Sparsity Models. INTERSPEECH Afsaneh Asaei, Mohammad Javad Taghizadeh, Hervé Bourlard, Volkan Cevher
2011	Misc	`conf`	Online performance guarantees for sparse recovery. ICASSP Raja Giryes, Volkan Cevher
2011	—	`conf`	Recipes on hard thresholding methods. CAMSAP Anastasios Kyrillidis, Volkan Cevher
2010	Misc	`conf`	Distributed bearing estimation via matrix completion. ICASSP Andrew E. Waters, Volkan Cevher
2010	J	`jnl`	Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective. Proc. IEEE Richard G. Baraniuk, Volkan Cevher, Michael B. Wakin
2010	J	`jnl`	Model-based compressive sensing. IEEE Trans. Inf. Theory Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde
2010	J	`jnl`	Sparse Signal Recovery and Acquisition with Graphical Models. IEEE Signal Process. Mag. Volkan Cevher, Piotr Indyk, Lawrence Carin, Richard G. Baraniuk
2010	A*	`conf`	Submodular Dictionary Selection for Sparse Representation. ICML Andreas Krause, Volkan Cevher
2009	J	`jnl`	Acoustic sensor network design for position estimation. ACM Trans. Sens. Networks Volkan Cevher, Lance M. Kaplan
2009	—	`conf`	Learning with Compressible Priors. NIPS Volkan Cevher
2009	—	`conf`	Model-based compressive sensing for signal ensembles. Allerton Marco F. Duarte, Volkan Cevher, Richard G. Baraniuk
2009	—	`conf`	Near-optimal Bayesian localization via incoherence and sparsity. IPSN Volkan Cevher, Petros Boufounos, Richard G. Baraniuk, Anna C. Gilbert, Martin J. Strauss
2009	Misc	`conf`	Recovery of compressible signals in unions of subspaces. CISS Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk
2009	J	`jnl`	Vehicle Speed Estimation Using Acoustic Wave Patterns. IEEE Trans. Signal Process. Volkan Cevher, Rama Chellappa, James H. McClellan
2008	Misc	`conf`	A compressive beamforming method. ICASSP Ali Cafer Gürbüz, James H. McClellan, Volkan Cevher
2008	B	`conf`	Compressed sensing for multi-view tracking and 3-D voxel reconstruction. ICIP Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Cevher, Rama Chellappa
2008	—	`conf`	Compressive Sensing for Background Subtraction. ECCV (2) Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa
2008	Misc	`conf`	Compressive wireless arrays for bearing estimation. ICASSP Volkan Cevher, Ali Cafer Gürbüz, James H. McClellan, Rama Chellappa
2008	—	`conf`	Distributed target localization via spatial sparsity. EUSIPCO Volkan Cevher, Marco F. Duarte, Richard G. Baraniuk
2008	Misc	`conf`	Factorized variational approximations for acoustic multi source localization. ICASSP Volkan Cevher, Aswin C. Sankaranarayanan, Rama Chellappa
2008	J	`jnl`	Model-Based Compressive Sensing CoRR Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde
2008	—	`conf`	Pareto Frontiers of Sensor Networks for Localization. IPSN Volkan Cevher, Lance M. Kaplan
2008	—	`conf`	Sparse Signal Recovery Using Markov Random Fields. NIPS Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard G. Baraniuk
2007	J	`jnl`	Acoustic Multitarget Tracking Using Direction-of-Arrival Batches. IEEE Trans. Signal Process. Volkan Cevher, Rajbabu Velmurugan, James H. McClellan
2007	J	`jnl`	Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks. J. VLSI Signal Process. Milind Borkar, Volkan Cevher, James H. McClellan
2007	—	`conf`	Joint Acoustic-Video Fingerprinting of Vehicles, Part I. ICASSP (2) Volkan Cevher, Rama Chellappa, James H. McClellan
2007	—	`conf`	Joint Acoustic-Video Fingerprinting of Vehicles, Part II. ICASSP (2) Volkan Cevher, Feng Guo, Aswin C. Sankaranarayanan, Rama Chellappa
2007	J	`jnl`	Low computation and low latency algorithms for distributed sensor network initialization. Signal Image Video Process. Milind Borkar, Volkan Cevher, James H. McClellan
2007	J	`jnl`	Optimal Maneuvering of Seismic Sensors for Localization of Subsurface Targets. IEEE Trans. Geosci. Remote. Sens. Mubashir Alam, Volkan Cevher, James H. McClellan, Greg D. Larson, Waymond R. Scott
2007	J	`jnl`	Target Tracking Using a Joint Acoustic Video System. IEEE Trans. Multim. Volkan Cevher, Aswin C. Sankaranarayanan, James H. McClellan, Rama Chellappa
2006	—	`conf`	A Monte-Carlo Method for Initializing Distributed Tracking Algorithms. ICASSP (4) Milind Borkar, Volkan Cevher, James H. McClellan
2006	—	`conf`	A Range-Only Multiple Target Particle Filter Tracker. ICASSP (4) Volkan Cevher, Rajbabu Velmurugan, James H. McClellan
2006	—	`conf`	A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation. EUSIPCO Volkan Cevher, Milind Borkar, James H. McClellan
2006	—	`conf`	On low-power analog implementation of particle filters for target tracking. EUSIPCO Rajbabu Velmurugan, Shyam Subramanian, Volkan Cevher, David Abramson, Kofi M. Odame, Jordan D. Gray, Haw-Jing Lo, James H. McClellan, David V. Anderson
2006	—	`conf`	Optimal Experiments With Seismic Sensors. ICASSP (4) Mubashir Alam, Volkan Cevher, James H. McClellan
2005	—	`—`	A Bayesian Framework for Target Tracking using Acoustic and Image Measurements. Volkan Cevher
2005	J	`jnl`	General direction-of-arrival tracking with acoustic nodes. IEEE Trans. Signal Process. Volkan Cevher, James H. McClellan
2005	—	`conf`	Proposal strategies for joint state-space tracking with particle filters. ICASSP (2) Volkan Cevher, James H. McClellan
2004	—	`conf`	Fast initialization of particle filters using a modified metropolis-Hastings algorithm: mode-hungry approach. ICASSP (2) Volkan Cevher, James H. McClellan
2001	Misc	`conf`	Sensor array calibration via tracking with the extended Kalman filter. ICASSP Volkan Cevher, James H. McClellan