Prasad, Adarsh

12 publications

AISTATS 2022 Heavy-Tailed Streaming Statistical Estimation Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar

ICML 2021 On Proximal Policy Optimization’s Heavy-Tailed Gradients Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, Zico Kolter, Zachary Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar

AISTATS 2020 A Robust Univariate Mean Estimator Is All You Need Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar

NeurIPS 2020 On Learning Ising Models Under Huber's Contamination Model Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan, Pradeep K. Ravikumar

ICML 2020 Uniform Convergence of Rank-Weighted Learning Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar

NeurIPS 2019 On Human-Aligned Risk Minimization Liu Leqi, Adarsh Prasad, Pradeep K Ravikumar

AISTATS 2019 Revisiting Adversarial Risk Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar

NeurIPS 2018 Connecting Optimization and Regularization Paths Arun Suggala, Adarsh Prasad, Pradeep K Ravikumar

NeurIPS 2017 On Separability of Loss Functions, and Revisiting Discriminative vs Generative Models Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep K Ravikumar

ICML 2015 Distributional Rank Aggregation, and an Axiomatic Analysis Adarsh Prasad, Harsh Pareek, Pradeep Ravikumar

NeurIPS 2015 Fast Classification Rates for High-Dimensional Gaussian Generative Models Tianyang Li, Adarsh Prasad, Pradeep K Ravikumar

NeurIPS 2014 Submodular Meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets Adarsh Prasad, Stefanie Jegelka, Dhruv Batra