Adarsh Prasad

22 papers A* 7A 3Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2022 A conf
Heavy-tailed Streaming Statistical Estimation.
AISTATS
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2022 — —
Towards Robust and Resilient Machine Learning.
Adarsh Prasad
2021 J jnl
Heavy-tailed Streaming Statistical Estimation.
CoRR
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2021 A* conf
On Proximal Policy Optimization's Heavy-tailed Gradients.
ICML
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
2021 J jnl
On Proximal Policy Optimization's Heavy-tailed Gradients.
CoRR
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
2021 A* conf
Robust linear regression: optimal rates in polynomial time.
STOC
Ainesh Bakshi, Adarsh Prasad
2020 A conf
A Robust Univariate Mean Estimator is All You Need.
AISTATS
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2020 J jnl
Learning Minimax Estimators via Online Learning.
CoRR
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
2020 A* conf
On Learning Ising Models under Huber's Contamination Model.
NeurIPS
Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan, Pradeep Ravikumar
2020 J jnl
Robust Linear Regression: Optimal Rates in Polynomial Time.
CoRR
Ainesh Bakshi, Adarsh Prasad
2020 A* conf
Uniform Convergence of Rank-weighted Learning.
ICML
Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
2019 J jnl
A Unified Approach to Robust Mean Estimation.
CoRR
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2019 A* conf
On Human-Aligned Risk Minimization.
NeurIPS
Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
2019 A conf
Revisiting Adversarial Risk.
AISTATS
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
2018 A* conf
Connecting Optimization and Regularization Paths.
NeurIPS
Arun Sai Suggala, Adarsh Prasad, Pradeep Ravikumar
2018 J jnl
On Adversarial Risk and Training.
CoRR
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar
2018 J jnl
Robust Estimation via Robust Gradient Estimation.
CoRR
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, Pradeep Ravikumar
2017 — conf
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models.
NIPS
Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar
2015 A* conf
Distributional Rank Aggregation, and an Axiomatic Analysis.
ICML
Adarsh Prasad, Harsh H. Pareek, Pradeep Ravikumar
2015 — conf
Fast Classification Rates for High-dimensional Gaussian Generative Models.
NIPS
Tianyang Li, Adarsh Prasad, Pradeep Ravikumar
2014 — conf
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets.
NIPS
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra
2014 J jnl
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets.
CoRR
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra