Chadha, Karan

7 publications

ICML 2024 Auditing Private Prediction Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher A. Choquette-Choo, Milad Nasr

ICMLW 2023 Differentially Private Heavy Hitters Using Federated Analytics Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar

AISTATS 2023 Federated Asymptotics: A Model to Compare Federated Learning Algorithms Gary Cheng, Karan Chadha, John Duchi

ICML 2022 Accelerated, Optimal and Parallel: Some Results on Model-Based Stochastic Optimization Karan Chadha, Gary Cheng, John Duchi

ICML 2022 Private Optimization in the Interpolation Regime: Faster Rates and Hardness Results Hilal Asi, Karan Chadha, Gary Cheng, John Duchi

NeurIPSW 2021 Private Confidence Sets Karan Chadha, John Duchi, Rohith Kuditipudi

NeurIPS 2020 Minibatch Stochastic Approximate Proximal Point Methods Hilal Asi, Karan Chadha, Gary Cheng, John C. Duchi