Pananjady, Ashwin

16 publications

ALT 2025 Computationally Efficient Reductions Between Some Statistical Models Mengqi Lou, Guy Bresler, Ashwin Pananjady

COLT 2025 Estimating Stationary Mass, Frequency by Frequency Milind Nakul, Vidya Muthukumar, Ashwin Pananjady

ALT 2024 Alternating Minimization for Generalized Rank One Matrix Sensing: Sharp Predictions from a Random Initialization Kabir Aladin Verchand, Mengqi Lou, Ashwin Pananjady

JMLR 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence Ashwin Pananjady, Vidya Muthukumar, Andrew Thangaraj

ICMLW 2024 Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady

UAI 2024 One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits Etash Guha, Jim James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady

NeurIPS 2023 Perceptual Adjustment Queries and an Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew McRae, Jingyan Wang, Mark Davenport, Ashwin Pananjady

ICMLW 2023 Perceptual Adjustment Queries: An Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

COLT 2023 Sharp Analysis of EM for Learning Mixtures of Pairwise Differences Abhishek Dhawan, Cheng Mao, Ashwin Pananjady

AISTATS 2022 Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady

COLT 2022 Optimal and Instance-Dependent Guarantees for Markovian Linear Stochastic Approximation Wenlong Mou, Ashwin Pananjady, Martin Wainwright, Peter Bartlett

JMLR 2020 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright

NeurIPS 2020 Preference Learning Along Multiple Criteria: A Game-Theoretic Perspective Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca Dragan, Martin J. Wainwright

AISTATS 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter Bartlett, Martin Wainwright

COLT 2018 Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-Based Models in Polynomial Time Cheng Mao, Ashwin Pananjady, Martin J. Wainwright

AISTATS 2018 Gradient Diversity: A Key Ingredient for Scalable Distributed Learning Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett