On Independent Cliques and Linear Complementarity Problems. - Karan N. Chadha; Ankur A. Kulkarni (CoRR, 2018)

Aggregate Play and Welfare in Strategic Interactions on Networks. - Karan N. Chadha; Ankur A. Kulkarni (CoRR, 2019)

Minibatch Stochastic Approximate Proximal Point Methods. - Hilal Asi; Karan N. Chadha; Gary Cheng 004; John C. Duchi (NeurIPS, 2020)

Fine-tuning is Fine in Federated Learning. - Gary Cheng 004; Karan N. Chadha; John C. Duchi (CoRR, 2021)

Efficiency fairness tradeoff in battery sharing. - Karan N. Chadha; Ankur A. Kulkarni; Jayakrishnan Nair 001 (Oper. Res. Lett., 2021)

Private optimization in the interpolation regime: faster rates and hardness results. - Hilal Asi; Karan N. Chadha; Gary Cheng 004; John C. Duchi (ICML, 2022)

Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization. - Karan N. Chadha; Gary Cheng 004; John C. Duchi (ICML, 2022)

Federated Asymptotics: a model to compare federated learning algorithms. - Gary Cheng 004; Karan N. Chadha; John C. Duchi (AISTATS, 2023)

Differentially Private Heavy Hitter Detection using Federated Analytics. - Karan N. Chadha; Junye Chen; John C. Duchi; Vitaly Feldman; Hanieh Hashemi; Omid Javidbakht; Audra McMillan; Kunal Talwar (SaTML, 2024)

Resampling methods for Private Statistical Inference. - Karan N. Chadha; John C. Duchi; Rohith Kuditipudi (CoRR, 2024)