Raman Arora

According to our database, Raman Arora authored at least 104 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms.

Thanh Nguyen-Tang, 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

Public-data Assisted Private Stochastic Optimization: Power and Limitations.

Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, 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

Benign Overfitting in Adversarial Training of Neural Networks.

Yunjuan Wang, Kaibo Zhang, Raman Arora

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarially Robust Hypothesis Transfer Learning.

Yunjuan Wang, Raman Arora

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On The Statistical Complexity of Offline Decision-Making.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.

Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Clustering using Approximate Nearest Neighbour Oracles.

Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman

Trans. Mach. Learn. Res., 2023

Generalization bounds for Kernel Canonical Correlation Analysis.

Enayat Ullah, Raman Arora

Trans. Mach. Learn. Res., 2023

Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards.

Thanh Nguyen-Tang, Raman Arora

CoRR, 2023

Optimistic Rates for Multi-Task Representation Learning.

Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robustness Guarantees for Adversarially Trained Neural Networks.

Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Agent Learning with Heterogeneous Linear Contextual Bandits.

Anh Do, Thanh Nguyen-Tang, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Adaptive Query Release to Machine Unlearning.

Enayat Ullah, Raman Arora

Proceedings of the International Conference on Machine Learning, 2023

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.

Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the International Conference on Machine Learning, 2023

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation.

Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Risk-Sensitive Approach to Policy Optimization.

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Adversarial Robustness is at Odds with Lazy Training.

Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Generalized Linear Models Revisited.

Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Robust Learning for Data Poisoning Attacks.

Yunjuan Wang, Poorya Mianjy, Raman Arora

Proceedings of the 38th International Conference on Machine Learning, 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, 2021

Machine Unlearning via Algorithmic Stability.

Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora

Proceedings of the Conference on Learning Theory, 2021

Differentially Private Analysis on Graph Streams.

Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Corralling Stochastic Bandit Algorithms.

Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, Raman Arora

IEEE J. Sel. Top. Signal Process., 2020

Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.

Raman Arora, Teodor V. Marinov, Enayat Ullah

CoRR, 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, 2020

Adversarial Robustness of Supervised Sparse Coding.

Jeremias Sulam, Ramchandran Muthukumar, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Convergence and Generalization of Dropout Training.

Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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, 2020

2019

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

Multiview Representation Learning for a Union of Subspaces.

Nils Holzenberger, Raman Arora

CoRR, 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, 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, 2019

Communication-efficient Distributed SGD with Sketching.

Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Differentially Private Graph Sparsification and Applications.

Raman Arora, Jalaj Upadhyay

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bandits with Feedback Graphs and Switching Costs.

Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Convex Relaxations for Streaming PCA.

Raman Arora, Teodor Vanislavov Marinov

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visual Robot Task Planning.

Chris Paxton, Yotam Barnoy, Kapil D. Katyal, Raman Arora, Gregory D. Hager

Proceedings of the International Conference on Robotics and Automation, 2019

On Dropout and Nuclear Norm Regularization.

Poorya Mianjy, Raman Arora

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning from Multiview Correlations in Open-domain Videos.

Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora

Proceedings of the IEEE International Conference on Acoustics, 2019

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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth

SoftwareX, 2018

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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth

Digit. Signal Process., 2018

Streaming Kernel PCA with Õ(√n) Random Features.

Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora

CoRR, 2018

The Physical Systems Behind Optimization Algorithms.

Lin F. Yang, Raman Arora, Vladimir Braverman, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.

Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Policy Regret in Repeated Games.

Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentially Private Robust Low-Rank Approximation.

Raman Arora, Vladimir Braverman, Jalaj Upadhyay

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Implicit Bias of Dropout.

Poorya Mianjy, Raman Arora, René Vidal

Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic PCA with 𝓁₂ and 𝓁₁ Regularization.

Poorya Mianjy, Raman Arora

Proceedings of the 35th International Conference on Machine Learning, 2018

Streaming Principal Component Analysis in Noisy Settings.

Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

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

Understanding Deep Neural Networks with Rectified Linear Units.

Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee

Electron. Colloquium Comput. Complex., 2017

Learning to Imagine Manipulation Goals for Robot Task Planning.

Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager

CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor V. Marinov, Poorya Mianjy

CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion.

Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 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, Maria Yancheva, Alyssa Vann, Nikolai Vogler

Proceedings of the 2017 IEEE International Conference on Acoustics, 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, Alyssa Vann, Nikolai Vogler

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

On Deep Multi-View Representation Learning: Objectives and Optimization.

Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes

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

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

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Embedding Lexical Features via Low-Rank Tensors.

Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley

Proceedings of the NAACL HLT 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, 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, 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, 2016

Learning Multiview Embeddings of Twitter Users.

Adrian Benton, Raman Arora, Mark Dredze

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Multiview LSA: Representation Learning via Generalized CCA.

Pushpendre Rastogi, Benjamin Van Durme, Raman Arora

Proceedings of the 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, 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, 2015

Unsupervised learning of acoustic features via deep canonical correlation analysis.

Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Stochastic optimization for deep CCA via nonlinear orthogonal iterations.

Weiran Wang, Raman Arora, Karen Livescu, Nathan Srebro

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Reconstruction of articulatory measurements with smoothed low-rank matrix completion.

Weiran Wang, Raman Arora, Karen Livescu

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Accelerated Mini-batch Randomized Block Coordinate Descent Method.

Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multi-view learning with supervision for transformed bottleneck features.

Raman Arora, Karen Livescu

Proceedings of the IEEE International Conference on Acoustics, 2014

Robust Stochastic Principal Component Analysis.

John Goes, Teng Zhang, Raman Arora, Gilad Lerman

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Similarity-based clustering by left-stochastic matrix factorization.

Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel

J. Mach. Learn. Res., 2013

Stochastic Optimization of PCA with Capped MSG.

Raman Arora, Andrew Cotter, Nati Srebro

Proceedings of the 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

Deep Canonical Correlation Analysis.

Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu

Proceedings of the 30th International Conference on Machine Learning, 2013

Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains.

Raman Arora, Karen Livescu

Proceedings of the IEEE International Conference on Acoustics, 2013

Consensus Ranking with Signed Permutations.

Raman Arora, Marina Meila

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Optimized Regression for Efficient Function Evaluation.

Eric K. Garcia, Raman Arora, Maya R. Gupta

IEEE Trans. Image Process., 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, 2012

Kernel CCA for multi-view learning of acoustic features using articulatory measurements.

Raman Arora, Karen Livescu

Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 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, 2012

Stochastic optimization for PCA and PLS.

Raman Arora, Andrew Cotter, Karen Livescu, Nathan Srebro

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

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, 2011

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, 2011

2010

Optimal estimation and detection in homogeneous spaces.

Raman Arora, Harish Parthasarathy

IEEE Trans. Signal Process., 2010

An Efficient and Stable Algorithm for Learning Rotations.

Raman Arora, William A. Sethares

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Distributed curve matching in camera networks using projective joint invariant signatures.

Raman Arora, Charles R. Dyer, Yu Hen Hu, Nigel Boston

Proceedings of the 2010 Fourth ACM/IEEE International Conference on Distributed Smart Cameras, Atlanta, GA, USA - August 31, 2010

2009

On Learning Rotations.

Raman Arora

Proceedings of the 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, 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, 2009

Reconstructing latent periods in genome sequences with insertions and deletions.

Raman Arora, Colin N. Dewey, William A. Sethares

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008

Latent Periodicities in Genome Sequences.

Raman Arora, William A. Sethares, James A. Bucklew

IEEE J. Sel. Top. Signal Process., 2008

Navigation using a spherical camera.

Raman Arora, Harish Parthasarathy

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Spherical Wiener filter.

Raman Arora, Harish Parthasarathy

Proceedings of the International Conference on Image Processing, 2008

Localizing time-varying periodicities in symbolic sequences.

Raman Arora, William A. Sethares, James A. Bucklew

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

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, 2007