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Karan Chadha
Karan Chadha
PhD Student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Federated Asymptotics: a model to compare federated learning algorithms
G Cheng, K Chadha, J Duchi
International Conference on Artificial Intelligence and Statistics, 10650-10689, 2023
47*2023
A reinforcement learning algorithm for restless bandits
VS Borkar, K Chadha
2018 Indian Control Conference (ICC), 89-94, 2018
182018
Accelerated, optimal and parallel: Some results on model-based stochastic optimization
K Chadha, G Cheng, J Duchi
International Conference on Machine Learning, 2811-2827, 2022
142022
Minibatch stochastic approximate proximal point methods
H Asi, K Chadha, G Cheng, JC Duchi
Advances in neural information processing systems 33, 21958-21968, 2020
142020
Efficiency fairness tradeoff in battery sharing
KN Chadha, AA Kulkarni, J Nair
Operations Research Letters 49 (3), 377-384, 2021
42021
Private optimization in the interpolation regime: faster rates and hardness results
H Asi, K Chadha, G Cheng, J Duchi
International Conference on Machine Learning, 1025-1045, 2022
32022
Aggregate play and welfare in strategic interactions on networks
KN Chadha, AA Kulkarni
Journal of Mathematical Economics 88, 72-86, 2020
32020
On independent cliques and linear complementarity problems
KN Chadha, AA Kulkarni
Indian Journal of Pure and Applied Mathematics 53 (4), 1036-1057, 2022
2*2022
Private confidence sets
K Chadha, J Duchi, R Kuditipudi
NeurIPS 2021 Workshop Privacy in Machine Learning, 2021
22021
Auditing Private Prediction
K Chadha, M Jagielski, N Papernot, C Choquette-Choo, M Nasr
arXiv preprint arXiv:2402.09403, 2024
2024
Resampling methods for Private Statistical Inference
K Chadha, J Duchi, R Kuditipudi
arXiv preprint arXiv:2402.07131, 2024
2024
Differentially Private Heavy Hitter Detection using Federated Analytics
K Chadha, J Chen, J Duchi, V Feldman, H Hashemi, O Javidbakht, ...
arXiv preprint arXiv:2307.11749, 2023
2023
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