Adarsh Prasad
Adarsh Prasad
PhD Student, Machine Learning Department, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Robust estimation via robust gradient estimation
A Prasad, AS Suggala, S Balakrishnan, P Ravikumar
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
1422020
Submodular meets structured: Finding diverse subsets in exponentially-large structured item sets
A Prasad, S Jegelka, D Batra
arXiv preprint arXiv:1411.1752, 2014
742014
Connecting optimization and regularization paths
A Suggala, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems 31, 10608-10619, 2018
352018
Revisiting adversarial risk
AS Suggala, A Prasad, V Nagarajan, P Ravikumar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
24*2019
Robust linear regression: Optimal rates in polynomial time
A Bakshi, A Prasad
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
132021
A unified approach to robust mean estimation
A Prasad, S Balakrishnan, P Ravikumar
arXiv preprint arXiv:1907.00927, 2019
112019
Distributional rank aggregation, and an axiomatic analysis
A Prasad, H Pareek, P Ravikumar
International Conference on Machine Learning, 2104-2112, 2015
112015
Fast classification rates for high-dimensional gaussian generative models
T Li, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems 28, 1054-1062, 2015
92015
Uniform convergence of rank-weighted learning
J Khim, L Leqi, A Prasad, P Ravikumar
International Conference on Machine Learning, 5254-5263, 2020
72020
On human-aligned risk minimization
L Leqi, A Prasad, P Ravikumar
62019
A robust univariate mean estimator is all you need
A Prasad, S Balakrishnan, P Ravikumar
International Conference on Artificial Intelligence and Statistics, 4034-4044, 2020
52020
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models.
A Prasad, A Niculescu-Mizil, P Ravikumar
NIPS, 7050-7059, 2017
42017
On Learning Ising Models under Huber's Contamination Model
A Prasad, V Srinivasan, S Balakrishnan, P Ravikumar
Advances in neural information processing systems 33, 2020
32020
On Proximal Policy Optimization's Heavy-tailed Gradients
S Garg, J Zhanson, E Parisotto, A Prasad, JZ Kolter, S Balakrishnan, ...
arXiv preprint arXiv:2102.10264, 2021
22021
Learning minimax estimators via online learning
K Gupta, AS Suggala, A Prasad, P Netrapalli, P Ravikumar
arXiv preprint arXiv:2006.11430, 2020
22020
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Articles 1–15