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NewEvery arXiv paper, its researchers & institutions — mapped.

papers

Publications (14)

Protection Against Reconstruction and Its Applications in Private Federated Learning

Abhishek Bhowmick, John Duchi, Julien Freudiger +2

Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs

Yu Bai, John Duchi, Song Mei

Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach

John Duchi, Peter Glynn, Hongseok Namkoong

Estimation from Indirect Supervision with Linear Moments

Aditi Raghunathan, Roy Frostig, John Duchi +1

Minimax Optimal Procedures for Locally Private Estimation

John Duchi, Martin Wainwright, Michael Jordan

Local Minimax Complexity of Stochastic Convex Optimization

Yuancheng Zhu, Sabyasachi Chatterjee, John Duchi +1

Stochastic Methods for Composite and Weakly Convex Optimization Problems

John Duchi, Feng Ruan

Variance-based regularization with convex objectives

John Duchi, Hongseok Namkoong

Constrained Approximate Maximum Entropy Learning of Markov Random Fields

Varun Ganapathi, David Vickrey, John Duchi +1

Asymptotic Optimality in Stochastic Optimization

John Duchi, Feng Ruan

Lower Bounds for Locally Private Estimation via Communication Complexity

John Duchi, Ryan Rogers

Projected Subgradient Methods for Learning Sparse Gaussians

John Duchi, Stephen Gould, Daphne Koller

Generalizing to Unseen Domains via Adversarial Data Augmentation

Riccardo Volpi, Hongseok Namkoong, Ozan Sener +3

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

Matthew O'Kelly, Aman Sinha, Hongseok Namkoong +2