Adarsh Prasad

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 17

Top Topics

Robust Estimators

Statistical Estimation

Top Venues

Publications

Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
Heavy-tailed Streaming Statistical Estimation. AISTATS (2022)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR (2021)
Ainesh Bakshi, Adarsh Prasad
Robust linear regression: optimal rates in polynomial time. STOC (2021)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. ICML (2021)
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
Heavy-tailed Streaming Statistical Estimation. CoRR (2021)
Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan, Pradeep Ravikumar
On Learning Ising Models under Huber's Contamination Model. NeurIPS (2020)
Ainesh Bakshi, Adarsh Prasad
Robust Linear Regression: Optimal Rates in Polynomial Time. CoRR (2020)
Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
Uniform Convergence of Rank-weighted Learning. ICML (2020)
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
Learning Minimax Estimators via Online Learning. CoRR (2020)
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
A Robust Univariate Mean Estimator is All You Need. AISTATS (2020)
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
A Unified Approach to Robust Mean Estimation. CoRR (2019)
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
Revisiting Adversarial Risk. AISTATS (2019)
Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
On Human-Aligned Risk Minimization. NeurIPS (2019)
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
On Adversarial Risk and Training. CoRR (2018)
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar
Robust Estimation via Robust Gradient Estimation. CoRR (2018)
Arun Sai Suggala, Adarsh Prasad, Pradeep Ravikumar
Connecting Optimization and Regularization Paths. NeurIPS (2018)
Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models. NIPS (2017)
Tianyang Li, Adarsh Prasad, Pradeep Ravikumar
Fast Classification Rates for High-dimensional Gaussian Generative Models. NIPS (2015)
Adarsh Prasad, Harsh H. Pareek, Pradeep Ravikumar
Distributional Rank Aggregation, and an Axiomatic Analysis. ICML (2015)
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets. NIPS (2014)
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets. CoRR (2014)