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 82 (3), 601-627, 2020
862020
Submodular meets structured: Finding diverse subsets in exponentially-large structured item sets
A Prasad, S Jegelka, D Batra
Advances in Neural Information Processing Systems, 2645-2653, 2014
562014
Connecting optimization and regularization paths
A Suggala, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems, 10608-10619, 2018
232018
Revisiting adversarial risk
AS Suggala, A Prasad, V Nagarajan, P Ravikumar
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
16*2019
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, 1054-1062, 2015
92015
A unified approach to robust mean estimation
A Prasad, S Balakrishnan, P Ravikumar
arXiv preprint arXiv:1907.00927, 2019
72019
On separability of loss functions, and revisiting discriminative vs generative models
A Prasad, A Niculescu-Mizil, PK Ravikumar
Advances in Neural Information Processing Systems, 7050-7059, 2017
42017
Robust linear regression: Optimal rates in polynomial time
A Bakshi, A Prasad
arXiv preprint arXiv:2007.01394, 2020
22020
Learning Minimax Estimators via Online Learning
K Gupta, AS Suggala, A Prasad, P Netrapalli, P Ravikumar
arXiv preprint arXiv:2006.11430, 2020
2020
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
2020
The system can't perform the operation now. Try again later.
Articles 1–11