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Fine-tuning is Fine in Federated Learning


Aug 16, 2021
Gary Cheng, Karan Chadha, John Duchi

* 40 pages (10 main pages, 30 appendix pages), 13 figures 

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Adapting to Function Difficulty and Growth Conditions in Private Optimization


Aug 05, 2021
Hilal Asi, Daniel Levy, John Duchi

* 28 pages 

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Private Adaptive Gradient Methods for Convex Optimization


Jun 25, 2021
Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar

* To appear in 38th International Conference on Machine Learning (ICML 2021) 

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On Misspecification in Prediction Problems and Robustness via Improper Learning


Jan 29, 2021
Annie Marsden, John Duchi, Gregory Valiant

* 28 pages, 6 figures 

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Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems


Aug 24, 2020
Aman Sinha, Matthew O'Kelly, John Duchi, Russ Tedrake


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Distributionally Robust Losses for Latent Covariate Mixtures


Jul 28, 2020
John Duchi, Tatsunori Hashimoto, Hongseok Namkoong

* First released in 2019 on a personal website 

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Knowing what you know: valid confidence sets in multiclass and multilabel prediction


Apr 24, 2020
Maxime Cauchois, Suyash Gupta, John Duchi


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FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis


Mar 09, 2020
Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake


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Understanding and Mitigating the Tradeoff Between Robustness and Accuracy


Feb 25, 2020
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang


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Element Level Differential Privacy: The Right Granularity of Privacy


Dec 05, 2019
Hilal Asi, John Duchi, Omid Javidbakht

* 34 pages, 5 figures 

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


Mar 01, 2019
Yu Bai, John Duchi, Song Mei


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


Jan 12, 2019
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John Duchi, Russ Tedrake

* NeurIPS 2018 

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Protection Against Reconstruction and Its Applications in Private Federated Learning


Dec 03, 2018
Abhishek Bhowmick, John Duchi, Julien Freudiger, Gaurav Kapoor, Ryan Rogers


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Generalizing to Unseen Domains via Adversarial Data Augmentation


Nov 06, 2018
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John Duchi, Vittorio Murino, Silvio Savarese

* Accepted to NIPS 2018 (camera ready) 

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Asymptotic Optimality in Stochastic Optimization


Nov 02, 2018
John Duchi, Feng Ruan


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Learning Models with Uniform Performance via Distributionally Robust Optimization


Oct 20, 2018
John Duchi, Hongseok Namkoong


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Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach


Jun 30, 2018
John Duchi, Peter Glynn, Hongseok Namkoong


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Certifying Some Distributional Robustness with Principled Adversarial Training


May 01, 2018
Aman Sinha, Hongseok Namkoong, John Duchi

* ICLR 2018: https://openreview.net/forum?id=Hk6kPgZA

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Variance-based regularization with convex objectives


Dec 14, 2017
John Duchi, Hongseok Namkoong


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Estimation from Indirect Supervision with Linear Moments


Aug 10, 2016
Aditi Raghunathan, Roy Frostig, John Duchi, Percy Liang

* 12 pages, 7 figures, extended and updated version of our paper appearing in ICML 2016 

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Local Minimax Complexity of Stochastic Convex Optimization


May 26, 2016
Yuancheng Zhu, Sabyasachi Chatterjee, John Duchi, John Lafferty


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Constrained Approximate Maximum Entropy Learning of Markov Random Fields


Jun 13, 2012
Varun Ganapathi, David Vickrey, John Duchi, Daphne Koller

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Projected Subgradient Methods for Learning Sparse Gaussians


Jun 13, 2012
John Duchi, Stephen Gould, Daphne Koller

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling


Apr 10, 2011
John Duchi, Alekh Agarwal, Martin Wainwright

* IEEE Transactions on Automatic Control 57(3), pp. 592 - 606. March 2012 
* 40 pages, 4 figures 

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