Raman Arora - RankMe

148 papers A* 46A 8B 4C 1Misc 9Journal 60Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Backdoor Attacks in Token Selection of Attention Mechanism. ICML Yunjuan Wang, Raman Arora
2025	—	`conf`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. SaTML Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2025	J	`jnl`	On The Statistical Complexity of Offline Decision-Making. CoRR Thanh Nguyen-Tang, Raman Arora
2025	A*	`conf`	Policy-Regret Minimization in Markov Games with Function Approximation. ICML Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	Adversarially Robust Hypothesis Transfer Learning. ICML Yunjuan Wang, Raman Arora
2024	A*	`conf`	Adversarially Robust Multi-task Representation Learning. NeurIPS Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora
2024	A*	`conf`	Benign Overfitting in Adversarial Training of Neural Networks. ICML Yunjuan Wang, Kaibo Zhang, Raman Arora
2024	J	`jnl`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2024	B	`conf`	Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. ALT Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2024	A*	`conf`	Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. NeurIPS Thanh Nguyen-Tang, Raman Arora
2024	J	`jnl`	Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. CoRR Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	Offline Multitask Representation Learning for Reinforcement Learning. NeurIPS Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
2024	J	`jnl`	Offline Multitask Representation Learning for Reinforcement Learning. CoRR Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
2024	J	`jnl`	On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond. CoRR Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	On The Statistical Complexity of Offline Decision-Making. ICML Thanh Nguyen-Tang, Raman Arora
2024	A*	`conf`	On the Stability and Generalization of Meta-Learning. NeurIPS Yunjuan Wang, Raman Arora
2024	A*	`conf`	Public-data Assisted Private Stochastic Optimization: Power and Limitations. NeurIPS Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2024	J	`jnl`	Public-data Assisted Private Stochastic Optimization: Power and Limitations. CoRR Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2024	A*	`conf`	Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation. NeurIPS Kaibo Zhang, Yunjuan Wang, Raman Arora
2023	A*	`conf`	A Risk-Sensitive Approach to Policy Optimization. AAAI Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2023	J	`jnl`	Clustering using Approximate Nearest Neighbour Oracles. Trans. Mach. Learn. Res. Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman
2023	J	`jnl`	Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. CoRR Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2023	A*	`conf`	Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. ICML Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2023	A*	`conf`	From Adaptive Query Release to Machine Unlearning. ICML Enayat Ullah, Raman Arora
2023	J	`jnl`	From Adaptive Query Release to Machine Unlearning. CoRR Enayat Ullah, Raman Arora
2023	J	`jnl`	Generalization bounds for Kernel Canonical Correlation Analysis. Trans. Mach. Learn. Res. Enayat Ullah, Raman Arora
2023	A*	`conf`	Multi-Agent Learning with Heterogeneous Linear Contextual Bandits. NeurIPS Anh Do, Thanh Nguyen-Tang, Raman Arora
2023	A*	`conf`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2023	A*	`conf`	On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond. NeurIPS Thanh Nguyen-Tang, Raman Arora
2023	A*	`conf`	Optimistic Rates for Multi-Task Representation Learning. NeurIPS Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora
2023	J	`jnl`	Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards. CoRR Thanh Nguyen-Tang, Raman Arora
2023	A*	`conf`	Robustness Guarantees for Adversarially Trained Neural Networks. NeurIPS Poorya Mianjy, Raman Arora
2023	A*	`conf`	VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation. ICLR Thanh Nguyen-Tang, Raman Arora
2022	J	`jnl`	A Risk-Sensitive Approach to Policy Optimization. CoRR Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang
2022	A*	`conf`	Adversarial Robustness is at Odds with Lazy Training. NeurIPS Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
2022	J	`jnl`	Adversarial Robustness is at Odds with Lazy Training. CoRR Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
2022	A*	`conf`	Differentially Private Generalized Linear Models Revisited. NeurIPS Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	J	`jnl`	Differentially Private Generalized Linear Models Revisited. CoRR Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	J	`jnl`	Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. CoRR Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	J	`jnl`	Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach. IEEE Trans. Cogn. Commun. Netw. Amir Alipour-Fanid, Monireh Dabaghchian, Raman Arora, Kai Zeng
2022	J	`jnl`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2021	A	`conf`	Corralling Stochastic Bandit Algorithms. AISTATS Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
2021	A	`conf`	Differentially Private Analysis on Graph Streams. AISTATS Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora
2021	A*	`conf`	Dropout: Explicit Forms and Capacity Control. ICML Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro
2021	A*	`conf`	Machine Unlearning via Algorithmic Stability. COLT Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2021	J	`jnl`	Machine Unlearning via Algorithmic Stability. CoRR Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
2021	A*	`conf`	Robust Learning for Data Poisoning Attacks. ICML Yunjuan Wang, Poorya Mianjy, Raman Arora
2020	A*	`conf`	Adversarial Robustness of Supervised Sparse Coding. NeurIPS Jeremias Sulam, Ramchandran Muthukumar, Raman Arora
2020	J	`jnl`	Adversarial Robustness of Supervised Sparse Coding. CoRR Jeremias Sulam, Ramchandran Muthukumar, Raman Arora
2020	J	`jnl`	Corralling Stochastic Bandit Algorithms. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2020	J	`jnl`	Dropout: Explicit Forms and Capacity Control. CoRR Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro
2020	A*	`conf`	FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020	J	`jnl`	FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020	J	`jnl`	Grounded Sequence to Sequence Transduction. IEEE J. Sel. Top. Signal Process. Lucia Specia, Loïc Barrault, Ozan Caglayan, Amanda Cardoso Duarte, Desmond Elliott, Spandana Gella, Nils Holzenberger, Chiraag Lala, Sun Jae Lee, Jindrich Libovický, Pranava Madhyastha, Florian Metze, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, Raman Arora
2020	—	`conf`	Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	J	`jnl`	Is Network the Bottleneck of Distributed Training? CoRR Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2020	A*	`conf`	On Convergence and Generalization of Dropout Training. NeurIPS Poorya Mianjy, Raman Arora
2020	J	`jnl`	On Convergence and Generalization of Dropout Training. CoRR Poorya Mianjy, Raman Arora
2020	J	`jnl`	Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. CoRR Raman Arora, Teodor V. Marinov, Enayat Ullah
2019	A*	`conf`	Bandits with Feedback Graphs and Switching Costs. NeurIPS Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
2019	J	`jnl`	Bandits with Feedback Graphs and Switching Costs. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2019	A*	`conf`	Communication-efficient Distributed SGD with Sketching. NeurIPS Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
2019	J	`jnl`	Communication-efficient distributed SGD with Sketching. CoRR Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
2019	—	`conf`	Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
2019	A*	`conf`	Efficient Convex Relaxations for Streaming PCA. NeurIPS Raman Arora, Teodor Vanislavov Marinov
2019	Misc	`conf`	Learning from Multiview Correlations in Open-domain Videos. ICASSP Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2019	J	`jnl`	Multiview Representation Learning for a Union of Subspaces. CoRR Nils Holzenberger, Raman Arora
2019	A*	`conf`	On Differentially Private Graph Sparsification and Applications. NeurIPS Raman Arora, Jalaj Upadhyay
2019	A*	`conf`	On Dropout and Nuclear Norm Regularization. ICML Poorya Mianjy, Raman Arora
2019	J	`jnl`	On Dropout and Nuclear Norm Regularization. CoRR Poorya Mianjy, Raman Arora
2019	A	`conf`	On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. UAI Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2019	J	`jnl`	Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. IEEE Trans. Inf. Theory Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao
2019	A*	`conf`	Visual Robot Task Planning. ICRA Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
2018	A*	`conf`	Differentially Private Robust Low-Rank Approximation. NeurIPS Raman Arora, Vladimir Braverman, Jalaj Upadhyay
2018	J	`jnl`	Learning from Multiview Correlations in Open-Domain Videos. CoRR Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2018	J	`jnl`	NeuroSpeech. SoftwareX Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth
2018	J	`jnl`	NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth
2018	A*	`conf`	On the Implicit Bias of Dropout. ICML Poorya Mianjy, Raman Arora, René Vidal
2018	J	`jnl`	On the Implicit Bias of Dropout. CoRR Poorya Mianjy, Raman Arora, René Vidal
2018	A*	`conf`	Policy Regret in Repeated Games. NeurIPS Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri
2018	J	`jnl`	Policy Regret in Repeated Games. CoRR Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri
2018	A*	`conf`	Stochastic PCA with 𝓁 ICML Poorya Mianjy, Raman Arora
2018	A*	`conf`	Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
2018	J	`jnl`	Streaming Kernel PCA with Õ(√n) Random Features. CoRR Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora
2018	A*	`conf`	Streaming Principal Component Analysis in Noisy Settings. ICML Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
2018	Misc	`conf`	Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. ITA Xingguo Li, Jarvis D. Haupt, Junwei Lu, Zhaoran Wang, Raman Arora, Han Liu, Tuo Zhao
2018	A*	`conf`	The Physical Systems Behind Optimization Algorithms. NeurIPS Lin F. Yang, Raman Arora, Vladimir Braverman, Tuo Zhao
2018	—	`conf`	Understanding Deep Neural Networks with Rectified Linear Units. ICLR (Poster) Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
2018	J	`jnl`	Visual Robot Task Planning. CoRR Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager
2017	A	`conf`	A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion. INTERSPEECH Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil
2017	J	`jnl`	Deep Generalized Canonical Correlation Analysis. CoRR Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
2017	J	`jnl`	Learning to Imagine Manipulation Goals for Robot Task Planning. CoRR Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager
2017	Misc	`conf`	Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nöth, Najim Dehak, Heidi Christensen, Frank Rudzicz, Tobias Bocklet, Milos Cernak, Hamid R. Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Maria Yancheva, Alyssa Vann, Nikolai Vogler
2017	J	`jnl`	On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. J. Mach. Learn. Res. Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2017	Misc	`conf`	On the impact of non-modal phonation on phonological features. ICASSP Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vásquez-Correa, Maria Yancheva, Alyssa Vann, Nikolai Vogler
2017	—	`conf`	Stochastic Approximation for Canonical Correlation Analysis. NIPS Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro
2017	J	`jnl`	Stochastic Approximation for Canonical Correlation Analysis. CoRR Raman Arora, Teodor V. Marinov, Poorya Mianjy
2017	J	`jnl`	Understanding Deep Neural Networks with Rectified Linear Units. Electron. Colloquium Comput. Complex. Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
2016	J	`jnl`	A First Order Free Lunch for SQRT-Lasso. CoRR Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2016	A	`conf`	An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. AISTATS Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2016	J	`jnl`	An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. CoRR Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
2016	—	`conf`	Disease Trajectory Maps. NIPS Peter Schulam, Raman Arora
2016	J	`jnl`	Disease Trajectory Maps. CoRR Peter Schulam, Raman Arora
2016	—	`conf`	Embedding Lexical Features via Low-Rank Tensors. HLT-NAACL Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley
2016	J	`jnl`	Embedding Lexical Features via Low-Rank Tensors. CoRR Mo Yu, Mark Dredze, Raman Arora, Matthew Gormley
2016	—	`conf`	Learning Multiview Embeddings of Twitter Users. ACL (2) Adrian Benton, Raman Arora, Mark Dredze
2016	J	`jnl`	On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2016	A*	`conf`	Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML Raman Arora, Poorya Mianjy, Teodor V. Marinov
2016	A*	`conf`	Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. ICML Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
2016	J	`jnl`	Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. CoRR Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
2016	J	`jnl`	Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. CoRR Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao
2016	J	`jnl`	The Physical Systems Behind Optimization Algorithms. CoRR Lin F. Yang, Raman Arora, Vladimir Braverman, Tuo Zhao
2016	J	`jnl`	Understanding Deep Neural Networks with Rectified Linear Units. CoRR Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
2015	—	`conf`	Multiview LSA: Representation Learning via Generalized CCA. HLT-NAACL Pushpendre Rastogi, Benjamin Van Durme, Raman Arora
2015	A*	`conf`	On Deep Multi-View Representation Learning. ICML Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2015	J	`jnl`	Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations. CoRR Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro
2015	—	`conf`	Stochastic optimization for deep CCA via nonlinear orthogonal iterations. Allerton Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro
2015	Misc	`conf`	Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2014	—	`conf`	Accelerated Mini-batch Randomized Block Coordinate Descent Method. NIPS Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu
2014	Misc	`conf`	Multi-view learning with supervision for transformed bottleneck features. ICASSP Raman Arora, Karen Livescu
2014	—	`conf`	Reconstruction of articulatory measurements with smoothed low-rank matrix completion. SLT Weiran Wang, Raman Arora, Karen Livescu
2014	A	`conf`	Robust Stochastic Principal Component Analysis. AISTATS John Goes, Teng Zhang, Raman Arora, Gilad Lerman
2013	A	`conf`	Consensus Ranking with Signed Permutations. AISTATS Raman Arora, Marina Meila
2013	—	`conf`	Deep Canonical Correlation Analysis. ICML (3) Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu
2013	Misc	`conf`	Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains. ICASSP Raman Arora, Karen Livescu
2013	J	`jnl`	Similarity-based clustering by left-stochastic matrix factorization. J. Mach. Learn. Res. Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2013	—	`conf`	Stochastic Optimization of PCA with Capped MSG. NIPS Raman Arora, Andrew Cotter, Nati Srebro
2013	J	`jnl`	Stochastic Optimization of PCA with Capped MSG. CoRR Raman Arora, Andrew Cotter, Nathan Srebro
2012	J	`jnl`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback CoRR Raman Arora, Ofer Dekel, Ambuj Tewari
2012	A	`conf`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback. UAI Raman Arora, Ofer Dekel, Ambuj Tewari
2012	—	`conf`	Kernel CCA for multi-view learning of acoustic features using articulatory measurements. MLSLP Raman Arora, Karen Livescu
2012	A*	`conf`	Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. ICML Ofer Dekel, Ambuj Tewari, Raman Arora
2012	J	`jnl`	Optimized Regression for Efficient Function Evaluation. IEEE Trans. Image Process. Eric K. Garcia, Raman Arora, Maya R. Gupta
2012	—	`conf`	Stochastic optimization for PCA and PLS. Allerton Conference Raman Arora, Andrew Cotter, Karen Livescu, Nathan Srebro
2011	A*	`conf`	Clustering by Left-Stochastic Matrix Factorization. ICML Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2011	C	`conf`	Minimizing bearing bias in tracking by de-coupled rotation and translation estimates. FUSION Raman Arora, Maya R. Gupta
2010	B	`conf`	An Efficient and Stable Algorithm for Learning Rotations. ICPR Raman Arora, William A. Sethares
2010	—	`conf`	Distributed curve matching in camera networks using projective joint invariant signatures. ICDSC Raman Arora, Charles R. Dyer, Yu Hen Hu, Nigel Boston
2010	J	`jnl`	Optimal estimation and detection in homogeneous spaces. IEEE Trans. Signal Process. Raman Arora, Harish Parthasarathy
2009	Misc	`conf`	Estimating correspondence between multiple cameras using joint invariants. ICASSP Raman Arora, Yu Hen Hu, Charles R. Dyer
2009	—	`conf`	On Learning Rotations. NIPS Raman Arora
2009	—	`conf`	Reconstructing latent periods in genome sequences with insertions and deletions. GENSiPS Raman Arora, Colin N. Dewey, William A. Sethares
2008	J	`jnl`	Latent Periodicities in Genome Sequences. IEEE J. Sel. Top. Signal Process. Raman Arora, William A. Sethares, James A. Bucklew
2008	Misc	`conf`	Localizing time-varying periodicities in symbolic sequences. ICASSP Raman Arora, William A. Sethares, James A. Bucklew
2008	B	`conf`	Navigation using a spherical camera. ICPR Raman Arora, Harish Parthasarathy
2008	B	`conf`	Spherical Wiener filter. ICIP Raman Arora, Harish Parthasarathy
2007	J	`jnl`	Adaptive Wavetable Oscillators. IEEE Trans. Signal Process. Raman Arora, William A. Sethares
2007	—	`conf`	Equilibria of Adaptive Wavetable Oscillators with Applications to Beat Tracking. ICASSP (4) William A. Sethares, Raman Arora