DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation - Yunjuan Wang; Hussein Hazimeh; Natalia Ponomareva; Alexey Kurakin; Ibrahim Hammoud; Raman Arora (IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025, Copenhagen, Denmark, April 9-11, 2025, 2025)

On The Statistical Complexity of Offline Decision-Making - Thanh Nguyen-Tang; Raman Arora (CoRR, 2025)

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates - Michael Menart; Enayat Ullah; Raman Arora; Raef Bassily; Cristóbal Guzmán (International Conference on Algorithmic Learning Theory, 25-28 February 2024, La Jolla, California, USA, 2024)

On The Statistical Complexity of Offline Decision-Making - Thanh Nguyen-Tang; Raman Arora (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Adversarially Robust Hypothesis Transfer Learning - Yunjuan Wang; Raman Arora (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Benign Overfitting in Adversarial Training of Neural Networks - Yunjuan Wang; Kaibo Zhang; Raman Arora (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Offline Multitask Representation Learning for Reinforcement Learning - Haque Ishfaq; Thanh Nguyen-Tang; Songtao Feng; Raman Arora; Mengdi Wang; Ming Yin; Doina Precup (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms - Thanh Nguyen-Tang; Raman Arora (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Public-data Assisted Private Stochastic Optimization: Power and Limitations - Enayat Ullah; Michael Menart; Raef Bassily; Cristóbal Guzmán; Raman Arora (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

On the Stability and Generalization of Meta-Learning - Yunjuan Wang; Raman Arora (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Adversarially Robust Multi-task Representation Learning - Austin Watkins; Thanh Nguyen-Tang; Enayat Ullah; Raman Arora (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation - Kaibo Zhang; Yunjuan Wang; Raman Arora (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond - Thanh Nguyen-Tang; Raman Arora (CoRR, 2024)

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation - Yunjuan Wang; Hussein Hazimeh; Natalia Ponomareva; Alexey Kurakin; Ibrahim Hammoud; Raman Arora (CoRR, 2024)

Public-data Assisted Private Stochastic Optimization: Power and Limitations - Enayat Ullah; Michael Menart; Raef Bassily; Cristóbal Guzmán; Raman Arora (CoRR, 2024)

Offline Multitask Representation Learning for Reinforcement Learning - Haque Ishfaq; Thanh Nguyen-Tang; Songtao Feng; Raman Arora; Mengdi Wang; Ming Yin; Doina Precup (CoRR, 2024)

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms - Thanh Nguyen-Tang; Raman Arora (CoRR, 2024)

Generalization bounds for Kernel Canonical Correlation Analysis - Enayat Ullah; Raman Arora (Trans. Mach. Learn. Res., 2023)

Clustering using Approximate Nearest Neighbour Oracles - Enayat Ullah; Harry Lang; Raman Arora; Vladimir Braverman (Trans. Mach. Learn. Res., 2023)

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation - Thanh Nguyen-Tang; Ming Yin; Sunil Gupta; Svetha Venkatesh; Raman Arora (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

A Risk-Sensitive Approach to Policy Optimization - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens; Raman Arora; I-Jeng Wang (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation - Thanh Nguyen-Tang; Raman Arora (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization - Raman Arora; Raef Bassily; Tomás González; Cristóbal Guzmán; Michael Menart; Enayat Ullah (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

From Adaptive Query Release to Machine Unlearning - Enayat Ullah; Raman Arora (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Multi-Agent Learning with Heterogeneous Linear Contextual Bandits - Anh Do; Thanh Nguyen-Tang; Raman Arora (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Robustness Guarantees for Adversarially Trained Neural Networks - Poorya Mianjy; Raman Arora (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond - Thanh Nguyen-Tang; Raman Arora (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Optimistic Rates for Multi-Task Representation Learning - Austin Watkins; Enayat Ullah; Thanh Nguyen-Tang; Raman Arora (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards - Thanh Nguyen-Tang; Raman Arora (CoRR, 2023)

From Adaptive Query Release to Machine Unlearning - Enayat Ullah; Raman Arora (CoRR, 2023)

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates - Michael Menart; Enayat Ullah; Raman Arora; Raef Bassily; Cristóbal Guzmán (CoRR, 2023)

Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach - Amir Alipour-Fanid; Monireh Dabaghchian; Raman Arora; Kai Zeng (IEEE Trans. Cogn. Commun. Netw., 2022)

Differentially Private Generalized Linear Models Revisited - Raman Arora; Raef Bassily; Cristóbal Guzmán; Michael Menart; Enayat Ullah (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Adversarial Robustness is at Odds with Lazy Training - Yunjuan Wang; Enayat Ullah; Poorya Mianjy; Raman Arora (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Differentially Private Generalized Linear Models Revisited - Raman Arora; Raef Bassily; Cristóbal Guzmán; Michael Menart; Enayat Ullah (CoRR, 2022)

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization - Raman Arora; Raef Bassily; Tomás González; Cristóbal Guzmán; Michael Menart; Enayat Ullah (CoRR, 2022)

Adversarial Robustness is at Odds with Lazy Training - Yunjuan Wang; Enayat Ullah; Poorya Mianjy; Raman Arora (CoRR, 2022)

A Risk-Sensitive Approach to Policy Optimization - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens; Raman Arora; I-Jeng Wang (CoRR, 2022)

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation - Thanh Nguyen-Tang; Ming Yin; Sunil Gupta; Svetha Venkatesh; Raman Arora (CoRR, 2022)

Differentially Private Analysis on Graph Streams - Jalaj Upadhyay; Sarvagya Upadhyay; Raman Arora (The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021)

Corralling Stochastic Bandit Algorithms - Raman Arora; Teodor Vanislavov Marinov; Mehryar Mohri (The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021)

Machine Unlearning via Algorithmic Stability - Enayat Ullah; Tung Mai; Anup Rao; Ryan A. Rossi; Raman Arora (Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA, 2021)

Dropout: Explicit Forms and Capacity Control - Raman Arora; Peter L. Bartlett; Poorya Mianjy; Nathan Srebro (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Robust Learning for Data Poisoning Attacks - Yunjuan Wang; Poorya Mianjy; Raman Arora (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Machine Unlearning via Algorithmic Stability - Enayat Ullah; Tung Mai; Anup Rao; Ryan A. Rossi; Raman Arora (CoRR, 2021)

Grounded Sequence to Sequence Transduction - 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; et al. (IEEE J. Sel. Top. Signal Process., 2020)

FetchSGD: Communication-Efficient Federated Learning with Sketching - Daniel Rothchild; Ashwinee Panda; Enayat Ullah; Nikita Ivkin; Ion Stoica; Vladimir Braverman; Joseph Gonzalez; Raman Arora (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

On Convergence and Generalization of Dropout Training - Poorya Mianjy; Raman Arora (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Adversarial Robustness of Supervised Sparse Coding - Jeremias Sulam; Ramchandran Muthukumar; Raman Arora (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Is Network the Bottleneck of Distributed Training? - Zhen Zhang; Chaokun Chang; Haibin Lin; Yida Wang; Raman Arora; Xin Jin (Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020, 2020)

Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives - Raman Arora; Teodor V. Marinov; Enayat Ullah (CoRR, 2020)

Dropout: Explicit Forms and Capacity Control - Raman Arora; Peter L. Bartlett; Poorya Mianjy; Nathan Srebro (CoRR, 2020)

Corralling Stochastic Bandit Algorithms - Raman Arora; Teodor V. Marinov; Mehryar Mohri (CoRR, 2020)

Is Network the Bottleneck of Distributed Training? - Zhen Zhang; Chaokun Chang; Haibin Lin; Yida Wang; Raman Arora; Xin Jin (CoRR, 2020)

FetchSGD: Communication-Efficient Federated Learning with Sketching - Daniel Rothchild; Ashwinee Panda; Enayat Ullah; Nikita Ivkin; Ion Stoica; Vladimir Braverman; Joseph Gonzalez; Raman Arora (CoRR, 2020)

Adversarial Robustness of Supervised Sparse Coding - Jeremias Sulam; Ramchandran Muthukumar; Raman Arora (CoRR, 2020)

On Convergence and Generalization of Dropout Training - Poorya Mianjy; Raman Arora (CoRR, 2020)

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization - Xingguo Li; Junwei Lu; Raman Arora; Jarvis D. Haupt; Han Liu; Zhaoran Wang; Tuo Zhao (IEEE Trans. Inf. Theory, 2019)

Learning from Multiview Correlations in Open-domain Videos - Nils Holzenberger; Shruti Palaskar; Pranava Madhyastha; Florian Metze; Raman Arora (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, 2019)

On Dropout and Nuclear Norm Regularization - Poorya Mianjy; Raman Arora (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Visual Robot Task Planning - Chris Paxton; Yotam Barnoy; Kapil D. Katyal; Raman Arora; Gregory D. Hager (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Bandits with Feedback Graphs and Switching Costs - Raman Arora; Teodor Vanislavov Marinov; Mehryar Mohri (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Efficient Convex Relaxations for Streaming PCA - Raman Arora; Teodor Vanislavov Marinov (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Communication-efficient Distributed SGD with Sketching - Nikita Ivkin; Daniel Rothchild; Enayat Ullah; Vladimir Braverman; Ion Stoica; Raman Arora (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

On Differentially Private Graph Sparsification and Applications - Raman Arora; Jalaj Upadhyay (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Deep Generalized Canonical Correlation Analysis - Adrian Benton; Huda Khayrallah; Biman Gujral; Dee Ann Reisinger; Sheng Zhang; Raman Arora (Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019, 2019)

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function - Xingguo Li; Haoming Jiang; Jarvis D. Haupt; Raman Arora; Han Liu; Mingyi Hong; Tuo Zhao (Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019, 2019)

Communication-efficient distributed SGD with Sketching - Nikita Ivkin; Daniel Rothchild; Enayat Ullah; Vladimir Braverman; Ion Stoica; Raman Arora (CoRR, 2019)

On Dropout and Nuclear Norm Regularization - Poorya Mianjy; Raman Arora (CoRR, 2019)

Bandits with Feedback Graphs and Switching Costs - Raman Arora; Teodor V. Marinov; Mehryar Mohri (CoRR, 2019)

Multiview Representation Learning for a Union of Subspaces - Nils Holzenberger; Raman Arora (CoRR, 2019)

NeuroSpeech: An open-source software for Parkinson's speech analysis - 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; et al. (Digit. Signal Process., 2018)

NeuroSpeech - 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; et al. (SoftwareX, 2018)

Understanding Deep Neural Networks with Rectified Linear Units - Raman Arora; Amitabh Basu; Poorya Mianjy; Anirbit Mukherjee (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Streaming Principal Component Analysis in Noisy Settings - Teodor Vanislavov Marinov; Poorya Mianjy; Raman Arora (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

Stochastic PCA with 120001\(_2\) and 120001\(_1\) Regularization - Poorya Mianjy; Raman Arora (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

On the Implicit Bias of Dropout - Poorya Mianjy; Raman Arora; René Vidal (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization - Xingguo Li; Jarvis D. Haupt; Junwei Lu; Zhaoran Wang; Raman Arora; Han Liu; Tuo Zhao (2018 Information Theory and Applications Workshop, ITA 2018, San Diego, CA, USA, February 11-16, 2018, 2018)

Differentially Private Robust Low-Rank Approximation - Raman Arora; Vladimir Braverman; Jalaj Upadhyay (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

The Physical Systems Behind Optimization Algorithms - Lin F. Yang; Raman Arora; Vladimir Braverman; Tuo Zhao (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Policy Regret in Repeated Games - Raman Arora; Michael Dinitz; Teodor Vanislavov Marinov; Mehryar Mohri (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features - Enayat Ullah; Poorya Mianjy; Teodor Vanislavov Marinov; Raman Arora (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Visual Robot Task Planning - Chris Paxton; Yotam Barnoy; Kapil D. Katyal; Raman Arora; Gregory D. Hager (CoRR, 2018)

On the Implicit Bias of Dropout - Poorya Mianjy; Raman Arora; René Vidal (CoRR, 2018)

Streaming Kernel PCA with Õ(\(\)n) Random Features - Enayat Ullah; Poorya Mianjy; Teodor V. Marinov; Raman Arora (CoRR, 2018)

Policy Regret in Repeated Games - Raman Arora; Michael Dinitz; Teodor V. Marinov; Mehryar Mohri (CoRR, 2018)

Learning from Multiview Correlations in Open-Domain Videos - Nils Holzenberger; Shruti Palaskar; Pranava Madhyastha; Florian Metze; Raman Arora (CoRR, 2018)

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu; Mingyi Hong (J. Mach. Learn. Res., 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease - 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; et al. (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

On the impact of non-modal phonation on phonological features - 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; et al. (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion - Leonardo Badino; Luca Franceschi; Raman Arora; Michele Donini; Massimiliano Pontil (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Stochastic Approximation for Canonical Correlation Analysis - Raman Arora; Teodor Vanislavov Marinov; Poorya Mianjy; Nati Srebro (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Deep Generalized Canonical Correlation Analysis - Adrian Benton; Huda Khayrallah; Biman Gujral; Dee Ann Reisinger; Sheng Zhang; Raman Arora (CoRR, 2017)

Stochastic Approximation for Canonical Correlation Analysis - Raman Arora; Teodor V. Marinov; Poorya Mianjy (CoRR, 2017)

Learning to Imagine Manipulation Goals for Robot Task Planning - Chris Paxton; Kapil D. Katyal; Christian Rupprecht; Raman Arora; Gregory D. Hager (CoRR, 2017)

Understanding Deep Neural Networks with Rectified Linear Units - Raman Arora; Amitabh Basu; Poorya Mianjy; Anirbit Mukherjee (Electron. Colloquium Comput. Complex., 2017)

Learning Multiview Embeddings of Twitter Users - Adrian Benton; Raman Arora; Mark Dredze (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 2: Short Papers, 2016)

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu; Mingyi Hong (Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016, 2016)

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu; Jarvis D. Haupt (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares - Raman Arora; Poorya Mianjy; Teodor V. Marinov (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Embedding Lexical Features via Low-Rank Tensors - Mo Yu; Mark Dredze; Raman Arora; Matthew R. Gormley (NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016, 2016)

Disease Trajectory Maps - Peter Schulam; Raman Arora (Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, 2016)

On Deep Multi-View Representation Learning: Objectives and Optimization - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (CoRR, 2016)

Embedding Lexical Features via Low-Rank Tensors - Mo Yu; Mark Dredze; Raman Arora; Matthew Gormley (CoRR, 2016)

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu; Jarvis D. Haupt (CoRR, 2016)

A First Order Free Lunch for SQRT-Lasso - Xingguo Li; Jarvis D. Haupt; Raman Arora; Han Liu; Mingyi Hong; Tuo Zhao (CoRR, 2016)

Disease Trajectory Maps - Peter Schulam; Raman Arora (CoRR, 2016)

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu; Mingyi Hong (CoRR, 2016)

Understanding Deep Neural Networks with Rectified Linear Units - Raman Arora; Amitabh Basu; Poorya Mianjy; Anirbit Mukherjee (CoRR, 2016)

The Physical Systems Behind Optimization Algorithms - Lin F. Yang; Raman Arora; Vladimir Braverman; Tuo Zhao (CoRR, 2016)

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization - Xingguo Li; Zhaoran Wang; Junwei Lu; Raman Arora; Jarvis D. Haupt; Han Liu; Tuo Zhao (CoRR, 2016)

Stochastic optimization for deep CCA via nonlinear orthogonal iterations - Weiran Wang; Raman Arora; Karen Livescu; Nathan Srebro (53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park & Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015, 2015)

Unsupervised learning of acoustic features via deep canonical correlation analysis - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015, 2015)

On Deep Multi-View Representation Learning - Weiran Wang; Raman Arora; Karen Livescu; Jeff A. Bilmes (Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, 2015)

Multiview LSA: Representation Learning via Generalized CCA - Pushpendre Rastogi; Benjamin Van Durme; Raman Arora (NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, 2015)

Stochastic Optimization for Deep CCA via Nonlinear Orthogonal Iterations - Weiran Wang; Raman Arora; Karen Livescu; Nathan Srebro (CoRR, 2015)

Robust Stochastic Principal Component Analysis - John Goes; Teng Zhang; Raman Arora; Gilad Lerman (Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014, 2014)

Multi-view learning with supervision for transformed bottleneck features - Raman Arora; Karen Livescu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, 2014)

Accelerated Mini-batch Randomized Block Coordinate Descent Method - Tuo Zhao; Mo Yu; Yiming Wang; Raman Arora; Han Liu (Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014)

Reconstruction of articulatory measurements with smoothed low-rank matrix completion - Weiran Wang; Raman Arora; Karen Livescu (2014 IEEE Spoken Language Technology Workshop, SLT 2014, South Lake Tahoe, NV, USA, December 7-10, 2014, 2014)

Similarity-based clustering by left-stochastic matrix factorization - Raman Arora; Maya R. Gupta; Amol Kapila; Maryam Fazel (J. Mach. Learn. Res., 2013)

Consensus Ranking with Signed Permutations - Raman Arora; Marina Meila (Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013, 2013)

Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains - Raman Arora; Karen Livescu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Deep Canonical Correlation Analysis - Galen Andrew; Raman Arora; Jeff A. Bilmes; Karen Livescu (Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, 2013)

Stochastic Optimization of PCA with Capped MSG - Raman Arora; Andrew Cotter; Nati Srebro (Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, 2013)

Stochastic Optimization of PCA with Capped MSG - Raman Arora; Andrew Cotter; Nathan Srebro (CoRR, 2013)

Optimized Regression for Efficient Function Evaluation - Eric K. Garcia; Raman Arora; Maya R. Gupta (IEEE Trans. Image Process., 2012)

Stochastic optimization for PCA and PLS - Raman Arora; Andrew Cotter; Karen Livescu; Nathan Srebro (50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012, Allerton Park & Retreat Center, Monticello, IL, USA, October 1-5, 2012, 2012)

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret - Ofer Dekel; Ambuj Tewari; Raman Arora (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012)

Kernel CCA for multi-view learning of acoustic features using articulatory measurements - Raman Arora; Karen Livescu (2012 Symposium on Machine Learning in Speech and Language Processing, MLSLP 2012, Portland, Oregon, USA, September 14, 2012, 2012)

Deterministic MDPs with Adversarial Rewards and Bandit Feedback - Raman Arora; Ofer Dekel; Ambuj Tewari (Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012, 2012)

Deterministic MDPs with Adversarial Rewards and Bandit Feedback - Raman Arora; Ofer Dekel; Ambuj Tewari (CoRR, 2012)

Minimizing bearing bias in tracking by de-coupled rotation and translation estimates - Raman Arora; Maya R. Gupta (Proceedings of the 14th International Conference on Information Fusion, FUSION 2011, Chicago, Illinois, USA, July 5-8, 2011, 2011)

Clustering by Left-Stochastic Matrix Factorization - Raman Arora; Maya R. Gupta; Amol Kapila; Maryam Fazel (Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, 2011)

Optimal estimation and detection in homogeneous spaces - Raman Arora; Harish Parthasarathy (IEEE Trans. Signal Process., 2010)

Distributed curve matching in camera networks using projective joint invariant signatures - Raman Arora; Charles R. Dyer; Yu Hen Hu; Nigel Boston (2010 Fourth ACM/IEEE International Conference on Distributed Smart Cameras, Atlanta, GA, USA - August 31 - September 4, 2010, 2010)

An Efficient and Stable Algorithm for Learning Rotations - Raman Arora; William A. Sethares (20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010, 2010)

Reconstructing latent periods in genome sequences with insertions and deletions - Raman Arora; Colin N. Dewey; William A. Sethares (2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSiPS 2009, Minneapolis, MN, USA, May 17-21, 2009, 2009)

Estimating correspondence between multiple cameras using joint invariants - Raman Arora; Yu Hen Hu; Charles R. Dyer (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 2009)

On Learning Rotations - Raman Arora (Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada, 2009)

Latent Periodicities in Genome Sequences - Raman Arora; William A. Sethares; James A. Bucklew (IEEE J. Sel. Top. Signal Process., 2008)

Localizing time-varying periodicities in symbolic sequences - Raman Arora; William A. Sethares; James A. Bucklew (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

Spherical Wiener filter - Raman Arora; Harish Parthasarathy (Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, 2008)

Navigation using a spherical camera - Raman Arora; Harish Parthasarathy (19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA, 2008)

Adaptive Wavetable Oscillators - Raman Arora; William A. Sethares (IEEE Trans. Signal Process., 2007)

Equilibria of Adaptive Wavetable Oscillators with Applications to Beat Tracking - William A. Sethares; Raman Arora (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 2007)