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List of works by John Duchi

Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems

Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care

Communication-Efficient Algorithms for Statistical Optimization

scientific article published in January 2012

Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices

Distributed Delayed Stochastic Optimization

scientific article published in January 2011

Distributed Dual Averaging In Networks

Efficient Learning using Forward-Backward Splitting

scientific article published in January 2009

Estimation, Optimization, and Parallelism when Data is Sparse

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods

scientific article published in January 2012

Generalizing to Unseen Domains via Adversarial Data Augmentation

Information-theoretic lower bounds for distributed statistical estimation with communication constraints

article by Yuchen Zhang et al published 2013 in Advances in Neural Information Processing Systems 26

Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms

scientific article published in November 2020

Large-Scale Methods for Distributionally Robust Optimization

Learning Kernels with Random Features

scientific article published in January 2016

Local Minimax Complexity of Stochastic Convex Optimization

scientific article published in January 2016

Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation

Minibatch Stochastic Approximate Proximal Point Methods

Minimax Optimal Procedures for Locally Private Estimation

scientific article published in 2018

Necessary and Sufficient Geometries for Gradient Methods

Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems

scientific article published in November 2020

Privacy Aware Learning

scientific article published in January 2012

Randomized Smoothing for Stochastic Optimization

scholarly article from 'SIAM Journal on Optimization' published in 2012

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

Simultaneous dimension reduction and adjustment for confounding variation

scientific article published on 07 December 2016

Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences

scientific article published in January 2016

The importance of better models in stochastic optimization

scientific article published on 30 October 2019

Unlabeled Data Improves Adversarial Robustness

Unsupervised Transformation Learning via Convex Relaxations

scientific article published in January 2017

Using Combinatorial Optimization within Max-Product Belief Propagation

scientific article published in January 2007

Variance-based Regularization with Convex Objectives

scientific article published in January 2017