| 2025 | ICML | Policy-Regret Minimization in Markov Games with Function Approximation. | Thanh Nguyen-Tang, Raman Arora |
| 2025 | ICML | Backdoor Attacks in Token Selection of Attention Mechanism. | Yunjuan Wang, Raman Arora |
| 2024 | ALT | Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. | Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristbal Guzmn |
| 2024 | ICML | On The Statistical Complexity of Offline Decision-Making. | Thanh Nguyen-Tang, Raman Arora |
| 2024 | ICML | Adversarially Robust Hypothesis Transfer Learning. | Yunjuan Wang, Raman Arora |
| 2024 | ICML | Benign Overfitting in Adversarial Training of Neural Networks. | Yunjuan Wang, Kaibo Zhang, Raman Arora |
| 2023 | AAAI | A Risk-Sensitive Approach to Policy Optimization. | Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang |
| 2023 | AAAI | On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. | Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora |
| 2023 | ICLR | VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation. | Thanh Nguyen-Tang, Raman Arora |
| 2023 | ICML | Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. | Raman Arora, Raef Bassily, Toms Gonzlez, Cristbal Guzmn, Michael Menart, Enayat Ullah |
| 2023 | ICML | From Adaptive Query Release to Machine Unlearning. | Enayat Ullah, Raman Arora |
| 2021 | AISTATS | Corralling Stochastic Bandit Algorithms. | Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri |
| 2021 | AISTATS | Differentially Private Analysis on Graph Streams. | Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora |
| 2021 | COLT | Machine Unlearning via Algorithmic Stability. | Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora |
| 2021 | ICML | Dropout: Explicit Forms and Capacity Control. | Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro |
| 2021 | ICML | Robust Learning for Data Poisoning Attacks. | Yunjuan Wang, Poorya Mianjy, Raman Arora |
| 2020 | ICML | FetchSGD: Communication-Efficient Federated Learning with Sketching. | Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora |
| 2020 | SIGCOMM | Is Network the Bottleneck of Distributed Training? | Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin |
| 2019 | ICASSP | Learning from Multiview Correlations in Open-domain Videos. | Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora |
| 2019 | ICML | On Dropout and Nuclear Norm Regularization. | Poorya Mianjy, Raman Arora |
| 2019 | ICRA | Visual Robot Task Planning. | Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager |
| 2019 | UAI | 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 |
| 2018 | ICLR | Understanding Deep Neural Networks with Rectified Linear Units. | Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee |
| 2018 | ICML | Streaming Principal Component Analysis in Noisy Settings. | Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora |
| 2018 | ICML | Stochastic PCA with 𝓁 | Poorya Mianjy, Raman Arora |
| 2018 | ICML | On the Implicit Bias of Dropout. | Poorya Mianjy, Raman Arora, Ren Vidal |
| 2018 | ITA | 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 |
| 2017 | ICASSP | On the impact of non-modal phonation on phonological features. | Milos Cernak, Elmar Nth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vsquez-Correa, Maria Yancheva, Alyssa Vann, Nikolai Vogler |
| 2017 | ICASSP | Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. | Juan Camilo Vsquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nth, 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 | Interspeech | A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion. | Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil |
| 2016 | ACL | Learning Multiview Embeddings of Twitter Users. | Adrian Benton, Raman Arora, Mark Dredze |
| 2016 | AISTATS | 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 |
| 2016 | ICML | Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. | Raman Arora, Poorya Mianjy, Teodor V. Marinov |
| 2016 | ICML | Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. | Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt |
| 2016 | NAACL | Embedding Lexical Features via Low-Rank Tensors. | Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley |
| 2015 | ICASSP | Unsupervised learning of acoustic features via deep canonical correlation analysis. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | ICML | On Deep Multi-View Representation Learning. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | NAACL | Multiview LSA: Representation Learning via Generalized CCA. | Pushpendre Rastogi, Benjamin Van Durme, Raman Arora |
| 2014 | AISTATS | Robust Stochastic Principal Component Analysis. | John Goes, Teng Zhang, Raman Arora, Gilad Lerman |
| 2014 | ICASSP | Multi-view learning with supervision for transformed bottleneck features. | Raman Arora, Karen Livescu |
| 2013 | AISTATS | Consensus Ranking with Signed Permutations. | Raman Arora, Marina Meila |
| 2013 | ICASSP | Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains. | Raman Arora, Karen Livescu |
| 2013 | ICML | Deep Canonical Correlation Analysis. | Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu |
| 2012 | ICML | Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. | Ofer Dekel, Ambuj Tewari, Raman Arora |
| 2012 | UAI | Deterministic MDPs with Adversarial Rewards and Bandit Feedback. | Raman Arora, Ofer Dekel, Ambuj Tewari |
| 2011 | FUSION | Minimizing bearing bias in tracking by de-coupled rotation and translation estimates. | Raman Arora, Maya R. Gupta |
| 2011 | ICML | Clustering by Left-Stochastic Matrix Factorization. | Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel |
| 2010 | ICPR | An Efficient and Stable Algorithm for Learning Rotations. | Raman Arora, William A. Sethares |
| 2009 | ICASSP | Estimating correspondence between multiple cameras using joint invariants. | Raman Arora, Yu Hen Hu, Charles R. Dyer |
| 2008 | ICASSP | Localizing time-varying periodicities in symbolic sequences. | Raman Arora, William A. Sethares, James A. Bucklew |
| 2008 | ICIP | Spherical Wiener filter. | Raman Arora, Harish Parthasarathy |
| 2008 | ICPR | Navigation using a spherical camera. | Raman Arora, Harish Parthasarathy |
| 2007 | ICASSP | Equilibria of Adaptive Wavetable Oscillators with Applications to Beat Tracking. | William A. Sethares, Raman Arora |