Mert Pilanci - RankMe

202 papers A* 39A 3B 2Misc 15Journal 130Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging. CoRR Linfeng Ye, Shayan Mohajer Hamidi, Zhixiang Chi, Guang Li, Mert Pilanci, Takahiro Ogawa, Miki Haseyama, Konstantinos N. Plataniotis
2026	J	`jnl`	An Information-Theoretic Perspective on LLM Tokenizers. CoRR Mete Erdogan, Abhiram Rao Gorle, Shubham Chandak, Mert Pilanci, Tsachy Weissman
2026	J	`jnl`	FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs. CoRR Rajat Vadiraj Dwaraknath, Sungyoon Kim, Mert Pilanci
2026	J	`jnl`	Optimal Scalar Quantization for Matrix Multiplication: Closed-Form Density and Phase Transition. CoRR Calvin Ang, Sungyoon Kim, Mert Pilanci
2026	J	`jnl`	Statsformer: Validated Ensemble Learning with LLM-Derived Semantic Priors. CoRR Erica Zhang, Naomi Sagan, Danny Tse, Fangzhao Zhang, Mert Pilanci, Jose H. Blanchet
2026	J	`jnl`	Unveiling Hidden Convexity in Deep Learning: a Sparse Signal Processing Perspective. CoRR Emi Zeger, Mert Pilanci
2025	J	`jnl`	A Recovery Guarantee for Sparse Neural Networks. CoRR Sara Fridovich-Keil, Mert Pilanci
2025	A*	`conf`	Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes. ICML Erica Zhang, Fangzhao Zhang, Mert Pilanci
2025	Misc	`conf`	Adaptive Large Language Models via Attention Shortcuts. ICASSP Prateek Verma, Mert Pilanci
2025	—	`ed.`	Conference on Parsimony and Learning, Stanford University, USA, 24-27 March 2025. CPAL Beidi Chen, Shijia Liu, Mert Pilanci, Weijie Su, Jeremias Sulam, Yuxiang Wang, Zhihui Zhu
2025	Misc	`conf`	ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. ICASSP Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci
2025	J	`jnl`	DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving. CoRR Longling Geng, Huangxing Li, Viktor Lado Naess, Mert Pilanci
2025	A	`conf`	Disentangling Speaker and Content in Pre-trained Speech Models with Latent Diffusion for Robust Speaker Verification. INTERSPEECH Zhe Li, Man-Wai Mak, Jen-Tzung Chien, Mert Pilanci, Zezhong Jin, Helen Meng
2025	A*	`conf`	Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality. ICLR Sungyoon Kim, Aaron Mishkin, Mert Pilanci
2025	A*	`conf`	Geometric Algebra Planes: Convex Implicit Neural Volumes. ICML Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci
2025	J	`jnl`	LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization. CoRR Erica Zhang, Ryunosuke Goto, Naomi Sagan, Jurik Mutter, Nick Phillips, Ash A. Alizadeh, Kangwook Lee, Jose H. Blanchet, Mert Pilanci, Robert Tibshirani
2025	J	`jnl`	Large Language Models Implicitly Learn to See and Hear Just By Reading. CoRR Prateek Verma, Mert Pilanci
2025	J	`jnl`	MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search. CoRR Sungyoon Kim, Rajat Vadiraj Dwaraknath, Longling Geng, Mert Pilanci
2025	J	`jnl`	Neural spectrahedra and semidefinite lifts: global convex optimization of degree-two polynomial activation neural networks in polynomial-time. Math. Program. Burak Bartan, Mert Pilanci
2025	A*	`conf`	Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing. ICLR Elad Romanov, Fangzhao Zhang, Mert Pilanci
2025	J	`jnl`	Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions. IEEE Trans. Inf. Theory Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2025	—	`conf`	Scalable Power Management of Data Centers via Proximal Gradient Optimization. CDC Emi Zeger, Nicholas Bambos, Mert Pilanci
2025	Misc	`conf`	Spectral-Aware Low-Rank Adaptation for Speaker Verification. ICASSP Zhe Li, Man-Wai Mak, Mert Pilanci, Hung-yi Lee, Helen Meng
2025	J	`jnl`	Spectral-Aware Low-Rank Adaptation for Speaker Verification. CoRR Zhe Li, Man-Wai Mak, Mert Pilanci, Hung-yi Lee, Helen Meng
2025	Misc	`conf`	Subtractive Training for Music Stem Insertion Using Latent Diffusion Models. ICASSP Ivan Villa-Renteria, Mason Long Wang, Zachary Shah, Zhe Li, Soohyun Kim, Neelesh Ramachandran, Mert Pilanci
2025	J	`jnl`	The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models. IEEE Trans. Inf. Theory Tolga Ergen, Mert Pilanci
2025	J	`jnl`	Thinking While Listening: Simple Test Time Scaling For Audio Classification. CoRR Prateek Verma, Mert Pilanci
2024	J	`jnl`	A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. CoRR Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci
2024	J	`jnl`	Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes. CoRR Erica Zhang, Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	AdaPTwin: Low-Cost Adaptive Compression of Product Twins in Transformers. CoRR Emil Biju, Anirudh Sriram, Mert Pilanci
2024	J	`jnl`	Adaptive Inference: Theoretical Limits and Unexplored Opportunities. CoRR Soheil Hor, Ying Qian, Mert Pilanci, Amin Arbabian
2024	J	`jnl`	Adaptive Large Language Models By Layerwise Attention Shortcuts. CoRR Prateek Verma, Mert Pilanci
2024	A*	`conf`	Adaptive Sampling for Efficient Softmax Approximation. NeurIPS Tavor Z. Baharav, Ryan Kang, Colin Sullivan, Mo Tiwari, Eric Luxenberg, David Tse, Mert Pilanci
2024	J	`jnl`	Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization. CoRR Daniel Kuelbs, Sanjay Lall, Mert Pilanci
2024	J	`jnl`	Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization. CoRR Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	Black Boxes and Looking Glasses: Multilevel Symmetries, Reflection Planes, and Convex Optimization in Deep Networks. CoRR Emi Zeger, Mert Pilanci
2024	A*	`conf`	CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks. NeurIPS Miria Feng, Zachary Frangella, Mert Pilanci
2024	J	`jnl`	CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks. CoRR Miria Feng, Zachary Frangella, Mert Pilanci
2024	A*	`conf`	Compressing Large Language Models using Low Rank and Low Precision Decomposition. NeurIPS Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea Goldsmith, Mert Pilanci
2024	J	`jnl`	Compressing Large Language Models using Low Rank and Low Precision Decomposition. CoRR Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
2024	J	`jnl`	Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization. CoRR Prateek Varshney, Mert Pilanci
2024	A*	`conf`	Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time. ICML Sungyoon Kim, Mert Pilanci
2024	J	`jnl`	Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time. CoRR Sungyoon Kim, Mert Pilanci
2024	J	`jnl`	ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. CoRR Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci
2024	J	`jnl`	Correction to: Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. Yifei Wang, Mert Pilanci
2024	J	`jnl`	Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. CoRR Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer
2024	J	`jnl`	Exploring the loss landscape of regularized neural networks via convex duality. CoRR Sungyoon Kim, Aaron Mishkin, Mert Pilanci
2024	J	`jnl`	Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation. CoRR Aaron Mishkin, Mert Pilanci, Mark Schmidt
2024	J	`jnl`	From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford Algebra and Convexity. Trans. Mach. Learn. Res. Mert Pilanci
2024	J	`jnl`	Geometric Algebra Planes: Convex Implicit Neural Volumes. CoRR Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci
2024	J	`jnl`	Gradient Coding With Iterative Block Leverage Score Sampling. IEEE Trans. Inf. Theory Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2024	J	`jnl`	Iterative Sketching for Secure Coded Regression. IEEE J. Sel. Areas Inf. Theory Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III
2024	J	`jnl`	Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing. CoRR Elad Romanov, Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. SIAM J. Math. Data Sci. Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2024	—	`conf`	Power-Managed Data Centers for Sustainable Computing. ICC Emi Zeger, Nicholas Bambos, Mert Pilanci
2024	J	`jnl`	Randomized Geometric Algebra Methods for Convex Neural Networks. CoRR Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci
2024	A*	`conf`	Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models. ICML Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models. CoRR Fangzhao Zhang, Mert Pilanci
2024	A*	`conf`	Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2024	A*	`conf`	Spectral Adapter: Fine-Tuning in Spectral Space. NeurIPS Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	Spectral Adapter: Fine-Tuning in Spectral Space. CoRR Fangzhao Zhang, Mert Pilanci
2024	J	`jnl`	Subtractive Training for Music Stem Insertion using Latent Diffusion Models. CoRR Ivan Villa-Renteria, Mason L. Wang, Zachary Shah, Zhe Li, Soohyun Kim, Neelesh Ramachandran, Mert Pilanci
2024	J	`jnl`	Towards Signal Processing In Large Language Models. CoRR Prateek Verma, Mert Pilanci
2023	J	`jnl`	Complex Clipping for Improved Generalization in Machine Learning. CoRR Les Atlas, Nicholas Rasmussen, Felix Schwock, Mert Pilanci
2023	Misc	`conf`	Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks. ICASSP Burak Bartan, Mert Pilanci
2023	J	`jnl`	Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration, and Lower Bounds. IEEE Trans. Inf. Theory Burak Bartan, Mert Pilanci
2023	J	`jnl`	Federated Coded Matrix Inversion. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2023	A*	`conf`	Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs. NeurIPS Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci
2023	J	`jnl`	Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs. CoRR Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci
2023	J	`jnl`	From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford's Geometric Algebra and Convexity. CoRR Mert Pilanci
2023	A*	`conf`	Globally Optimal Training of Neural Networks with Threshold Activation Functions. ICLR Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci
2023	J	`jnl`	Globally Optimal Training of Neural Networks with Threshold Activation Functions. CoRR Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci
2023	J	`jnl`	Gradient Coding through Iterative Block Leverage Score Sampling. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2023	J	`jnl`	Iterative Sketching for Secure Coded Regression. CoRR Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III
2023	Misc	`conf`	Low Precision Representations for High Dimensional Models. ICASSP Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
2023	A*	`conf`	Matrix Compression via Randomized Low Rank and Low Precision Factorization. NeurIPS Rajarshi Saha, Varun Srivastava, Mert Pilanci
2023	J	`jnl`	Matrix Compression via Randomized Low Rank and Low Precision Factorization. CoRR Rajarshi Saha, Varun Srivastava, Mert Pilanci
2023	A*	`conf`	Optimal Sets and Solution Paths of ReLU Networks. ICML Aaron Mishkin, Mert Pilanci
2023	J	`jnl`	Optimal Sets and Solution Paths of ReLU Networks. CoRR Aaron Mishkin, Mert Pilanci
2023	A*	`conf`	Optimal Shrinkage for Distributed Second-Order Optimization. ICML Fangzhao Zhang, Mert Pilanci
2023	A*	`conf`	Parallel Deep Neural Networks Have Zero Duality Gap. ICLR Yifei Wang, Tolga Ergen, Mert Pilanci
2023	A*	`conf`	Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks. NeurIPS Tolga Ergen, Mert Pilanci
2023	J	`jnl`	Polynomial-Time Solutions for ReLU Network Training: A Complexity Classification via Max-Cut and Zonotopes. CoRR Yifei Wang, Mert Pilanci
2023	J	`jnl`	Randomized Polar Codes for Anytime Distributed Machine Learning. CoRR Burak Bartan, Mert Pilanci
2023	J	`jnl`	Randomized Polar Codes for Anytime Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory Burak Bartan, Mert Pilanci
2023	J	`jnl`	Securely Aggregated Coded Matrix Inversion. IEEE J. Sel. Areas Inf. Theory Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2023	J	`jnl`	Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. Yifei Wang, Mert Pilanci
2023	J	`jnl`	The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models. CoRR Tolga Ergen, Mert Pilanci
2023	J	`jnl`	Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI. CoRR Annesha Ghosh, Gordon Wetzstein, Mert Pilanci, Sara Fridovich-Keil
2022	J	`jnl`	A Data-Driven Waveform Adaptation Method for Mm-Wave Gait Classification at the Edge. IEEE Signal Process. Lett. Soheil Hor, Mert Pilanci, Amin Arbabian
2022	J	`jnl`	Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds. IEEE Trans. Inf. Theory Jonathan Lacotte, Mert Pilanci
2022	A	`conf`	Approximate Function Evaluation via Multi-Armed Bandits. AISTATS Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
2022	J	`jnl`	Approximate Function Evaluation via Multi-Armed Bandits. CoRR Tavor Z. Baharav, Gary Cheng, Mert Pilanci, David Tse
2022	J	`jnl`	Computational Polarization: An Information-Theoretic Method for Resilient Computing. IEEE Trans. Inf. Theory Mert Pilanci
2022	A*	`conf`	Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. ICLR Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	J	`jnl`	Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds. CoRR Burak Bartan, Mert Pilanci
2022	J	`jnl`	Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. IEEE J. Sel. Areas Inf. Theory Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
2022	A*	`conf`	Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. ICML Aaron Mishkin, Arda Sahiner, Mert Pilanci
2022	J	`jnl`	Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. CoRR Aaron Mishkin, Arda Sahiner, Mert Pilanci
2022	J	`jnl`	GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	A*	`conf`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	—	`conf`	Hierarchical Multi-modal Transformer for Automatic Detection of COVID-19. SPML Shuyun Tang, Xinying Hu, Les Atlas, Amil Khanzada, Mert Pilanci
2022	J	`jnl`	Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. CoRR Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
2022	A*	`conf`	Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time. ICML Burak Bartan, Mert Pilanci
2022	J	`jnl`	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. CoRR Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li
2022	B	`conf`	Orthonormal Sketches for Secure Coded Regression. ISIT Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III
2022	J	`jnl`	Orthonormal Sketches for Secure Coded Regression}. CoRR Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III
2022	J	`jnl`	ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery. CoRR Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
2022	—	`conf`	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022	J	`jnl`	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022	—	`conf`	Secure Linear MDS Coded Matrix Inversion. Allerton Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2022	J	`jnl`	Secure Linear MDS Coded Matrix Inversion. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2022	A*	`conf`	The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. ICLR Yifei Wang, Mert Pilanci
2022	A*	`conf`	The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions. ICLR Yifei Wang, Jonathan Lacotte, Mert Pilanci
2022	A*	`conf`	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. ICML Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	J	`jnl`	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. CoRR Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	J	`jnl`	Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough. CoRR Esin Darici, Nicholas Rasmussen, J. Jennifer Ranjani, Jaclyn Xiao, Gunvant R. Chaudhari, Akanksha Rajput, Praveen Govindan, Minami Yamaura, Laura Gomezjurado, Amil Khanzada, Mert Pilanci
2022	J	`jnl`	Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML). CoRR Richard Swartzbaugh, Amil Khanzada, Praveen Govindan, Mert Pilanci, Ayomide Owoyemi, Les Atlas, Hugo Estrada, Richard Nall, Michael Lotito, Rich Falcone, J. Jennifer Ranjani
2021	A*	`conf`	Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. ICML Jonathan Lacotte, Yifei Wang, Mert Pilanci
2021	J	`jnl`	Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. CoRR Jonathan Lacotte, Yifei Wang, Mert Pilanci
2021	Misc	`conf`	Approximate Weighted C R Coded Matrix Multiplication. ICASSP Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2021	J	`jnl`	Computational Polarization: An Information-theoretic Method for Resilient Computing. CoRR Mert Pilanci
2021	J	`jnl`	Convex Geometry and Duality of Over-parameterized Neural Networks. J. Mach. Learn. Res. Tolga Ergen, Mert Pilanci
2021	Misc	`conf`	Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation. ICASSP Vikul Gupta, Burak Bartan, Tolga Ergen, Mert Pilanci
2021	A*	`conf`	Convex Regularization behind Neural Reconstruction. ICLR Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
2021	J	`jnl`	Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. CoRR Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	J	`jnl`	Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints. CoRR Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
2021	J	`jnl`	Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based Preconditioners. CoRR Jonathan Lacotte, Mert Pilanci
2021	A*	`conf`	Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. ICML Tolga Ergen, Mert Pilanci
2021	J	`jnl`	Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. CoRR Tolga Ergen, Mert Pilanci
2021	J	`jnl`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	A*	`conf`	Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time. ICLR Tolga Ergen, Mert Pilanci
2021	—	`conf`	Linear Predictive Coding for Acute Stress Prediction from Computer Mouse Movements. EMBC Lawrence H. Kim, Rahul Goel, Jia Liang, Mert Pilanci, Pablo E. Paredes
2021	J	`jnl`	Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time. CoRR Burak Bartan, Mert Pilanci
2021	A*	`conf`	Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update. NeurIPS Michal Derezinski, Jonathan Lacotte, Mert Pilanci, Michael W. Mahoney
2021	J	`jnl`	Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update. CoRR Michal Derezinski, Jonathan Lacotte, Mert Pilanci, Michael W. Mahoney
2021	J	`jnl`	Parallel Deep Neural Networks Have Zero Duality Gap. CoRR Yifei Wang, Tolga Ergen, Mert Pilanci
2021	J	`jnl`	Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks. CoRR Tolga Ergen, Mert Pilanci
2021	A*	`conf`	Revealing the Structure of Deep Neural Networks via Convex Duality. ICML Tolga Ergen, Mert Pilanci
2021	J	`jnl`	The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. CoRR Yifei Wang, Mert Pilanci
2021	A*	`conf`	Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. ICML Burak Bartan, Mert Pilanci
2021	J	`jnl`	Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. CoRR Burak Bartan, Mert Pilanci
2021	A*	`conf`	Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. ICLR Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci
2020	J	`jnl`	Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds. CoRR Jonathan Lacotte, Mert Pilanci
2020	J	`jnl`	All Local Minima are Global for Two-Layer ReLU Neural Networks: The Hidden Convex Optimization Landscape. CoRR Jonathan Lacotte, Mert Pilanci
2020	J	`jnl`	Approximate Weighted CR Coded Matrix Multiplication. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2020	J	`jnl`	Convex Duality of Deep Neural Networks. CoRR Tolga Ergen, Mert Pilanci
2020	J	`jnl`	Convex Geometry and Duality of Over-parameterized Neural Networks. CoRR Tolga Ergen, Mert Pilanci
2020	A	`conf`	Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models. AISTATS Tolga Ergen, Mert Pilanci
2020	J	`jnl`	Convex Regularization Behind Neural Reconstruction. CoRR Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
2020	A*	`conf`	Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. NeurIPS Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
2020	J	`jnl`	Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. CoRR Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
2020	J	`jnl`	Distributed Averaging Methods for Randomized Second Order Optimization. CoRR Burak Bartan, Mert Pilanci
2020	J	`jnl`	Distributed Sketching Methods for Privacy Preserving Regression. CoRR Burak Bartan, Mert Pilanci
2020	A*	`conf`	Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization. NeurIPS Jonathan Lacotte, Mert Pilanci
2020	J	`jnl`	Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization. CoRR Jonathan Lacotte, Mert Pilanci
2020	J	`jnl`	Global Convergence of Frank Wolfe on One Hidden Layer Networks. CoRR Alexandre d'Aspremont, Mert Pilanci
2020	J	`jnl`	Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts. IEEE J. Sel. Areas Inf. Theory Surin Ahn, Ayfer Özgür, Mert Pilanci
2020	J	`jnl`	Global Multiclass Classification from Heterogeneous Local Models. CoRR Surin Ahn, Ayfer Özgür, Mert Pilanci
2020	J	`jnl`	Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods. CoRR Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci
2020	J	`jnl`	Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares Using Random Projections. IEEE J. Sel. Areas Inf. Theory Srivatsan Sridhar, Mert Pilanci, Ayfer Özgür
2020	J	`jnl`	Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares using Random Projections. CoRR Srivatsan Sridhar, Mert Pilanci, Ayfer Özgür
2020	J	`jnl`	Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks. CoRR Mert Pilanci, Tolga Ergen
2020	A*	`conf`	Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks. ICML Mert Pilanci, Tolga Ergen
2020	A*	`conf`	Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform. NeurIPS Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci
2020	A*	`conf`	Optimal Randomized First-Order Methods for Least-Squares Problems. ICML Jonathan Lacotte, Mert Pilanci
2020	J	`jnl`	Optimal Randomized First-Order Methods for Least-Squares Problems. CoRR Jonathan Lacotte, Mert Pilanci
2020	Misc	`conf`	Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory. ACSSC Elaina Chai, Mert Pilanci, Boris Murmann
2020	J	`jnl`	Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory. CoRR Elaina Chai, Mert Pilanci, Boris Murmann
2020	J	`jnl`	Straggler Robust Distributed Matrix Inverse Approximation. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2020	J	`jnl`	Training Convolutional ReLU Neural Networks in Polynomial Time: Exact Convex Optimization Formulations. CoRR Tolga Ergen, Mert Pilanci
2020	J	`jnl`	Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. CoRR Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci
2020	Misc	`conf`	Weighted Gradient Coding with Leverage Score Sampling. ICASSP Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2020	J	`jnl`	Weighted Gradient Coding with Leverage Score Sampling. CoRR Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
2019	—	`conf`	Convex Optimization for Shallow Neural Networks. Allerton Tolga Ergen, Mert Pilanci
2019	Misc	`conf`	Convex Relaxations of Convolutional Neural Nets. ICASSP Burak Bartan, Mert Pilanci
2019	J	`jnl`	Convex Relaxations of Convolutional Neural Nets. CoRR Burak Bartan, Mert Pilanci
2019	J	`jnl`	Distributed Black-Box Optimization via Error Correcting Codes. CoRR Burak Bartan, Mert Pilanci
2019	—	`conf`	Distributed Black-Box optimization via Error Correcting Codes. Allerton Burak Bartan, Mert Pilanci
2019	—	`conf`	Fast and Robust Solution Techniques for Large Scale Linear System of Equations. SIU Ibrahim Kurban Özaslan, Mert Pilanci, Orhan Arikan
2019	J	`jnl`	Faster Least Squares Optimization. CoRR Jonathan Lacotte, Mert Pilanci
2019	A*	`conf`	High-Dimensional Optimization in Adaptive Random Subspaces. NeurIPS Jonathan Lacotte, Mert Pilanci, Marco Pavone
2019	J	`jnl`	High-Dimensional Optimization in Adaptive Random Subspaces. CoRR Jonathan Lacotte, Mert Pilanci, Marco Pavone
2019	Misc	`conf`	Iterative Hessian Sketch with Momentum. ICASSP Ibrahim Kurban Özaslan, Mert Pilanci, Orhan Arikan
2019	J	`jnl`	Polar Coded Distributed Matrix Multiplication. CoRR Burak Bartan, Mert Pilanci
2019	J	`jnl`	Regularized Momentum Iterative Hessian Sketch for Large Scale Linear System of Equations. CoRR Ibrahim Kurban Özaslan, Mert Pilanci, Orhan Arikan
2019	—	`conf`	Straggler Resilient Serverless Computing Based on Polar Codes. Allerton Burak Bartan, Mert Pilanci
2017	J	`jnl`	Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence. SIAM J. Optim. Mert Pilanci, Martin J. Wainwright
2016	—	`—`	Fast Randomized Algorithms for Convex Optimization and Statistical Estimation. Mert Pilanci
2016	J	`jnl`	Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares. J. Mach. Learn. Res. Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence. CoRR Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Randomized Sketches of Convex Programs With Sharp Guarantees. IEEE Trans. Inf. Theory Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Randomized sketches for kernels: Fast and optimal non-parametric regression. CoRR Yun Yang, Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Sparse learning via Boolean relaxations. Math. Program. Mert Pilanci, Martin J. Wainwright, Laurent El Ghaoui
2014	J	`jnl`	Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares. CoRR Mert Pilanci, Martin J. Wainwright
2014	J	`jnl`	Randomized Sketches of Convex Programs with Sharp Guarantees. CoRR Mert Pilanci, Martin J. Wainwright
2014	B	`conf`	Randomized sketches of convex programs with sharp guarantees. ISIT Mert Pilanci, Martin J. Wainwright
2012	Misc	`conf`	Expectation maximization based matching pursuit. ICASSP Ali Cafer Gürbüz, Mert Pilanci, Orhan Arikan
2012	—	`conf`	Recovery of Sparse Probability Measures via Convex Programming. NIPS Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
2011	Misc	`conf`	Recovery of sparse perturbations in Least Squares problems. ICASSP Mert Pilanci, Orhan Arikan
2010	J	`jnl`	Structured least squares problems and robust estimators. IEEE Trans. Signal Process. Mert Pilanci, Orhan Arikan, Mustafa Ç. Pinar
2009	Misc	`conf`	Structured least squares with bounded data uncertainties. ICASSP Mert Pilanci, Orhan Arikan, Barlas Oguz, Mustafa Ç. Pinar