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Predictive Inference with Weak Supervision

Journal of Machine Learning Research
2024 | Journal article
Contributors: John Duchi; Maxime Cauchois; Suyash Gupta; Alnur Ali
Source: Self-asserted source
John Duchi

Robust Validation: Confident Predictions Even When Distributions Shift

Journal of the American Statistical Association
2024-02 | Journal article
DOI: 10.1080/01621459.2023.2298037
Part of ISSN: 0162-1459
Part of ISSN: 1537-274X
Contributors: Maxime Cauchois; Suyash Gupta; Alnur Ali; John C. Duchi
Source: Self-asserted source
John Duchi

Lower bounds for non-convex stochastic optimization

Mathematical Programming
2023-05 | Journal article
DOI: 10.1007/s10107-022-01822-7
Part of ISSN: 0025-5610
Part of ISSN: 1436-4646
Contributors: Yossi Arjevani; Yair Carmon; John C. Duchi; Dylan J. Foster; Nathan Srebro; Blake Woodworth
Source: Self-asserted source
John Duchi

Distributionally Robust Losses for Latent Covariate Mixtures

Operations Research
2023-03 | Journal article
DOI: 10.1287/opre.2022.2363
Part of ISSN: 0030-364X
Part of ISSN: 1526-5463
Contributors: John Duchi; Tatsunori Hashimoto; Hongseok Namkoong
Source: Self-asserted source
John Duchi

Bounds on the conditional and average treatment effect with unobserved confounding factors

The Annals of Statistics
2022-10-01 | Journal article
DOI: 10.1214/22-aos2195
Part of ISSN: 0090-5364
Contributors: Steve Yadlowsky; Hongseok Namkoong; Sanjay Basu; John Duchi; Lu Tian
Source: Self-asserted source
John Duchi

Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach

Mathematics of Operations Research
2021-08 | Journal article
DOI: 10.1287/moor.2020.1085
Part of ISSN: 0364-765X
Part of ISSN: 1526-5471
Contributors: John C. Duchi; Peter W. Glynn; Hongseok Namkoong
Source: Self-asserted source
John Duchi

Learning models with uniform performance via distributionally robust optimization

The Annals of Statistics
2021-06-01 | Journal article
DOI: 10.1214/20-aos2004
Part of ISSN: 0090-5364
Contributors: John C. Duchi; Hongseok Namkoong
Source: Self-asserted source
John Duchi

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

Advances in Neural Information Processing Systems 34
2020 | Conference paper
Source: Self-asserted source
John Duchi

Distributionally robust losses against mixture covariate shifts

arXiv:2007.13982 [cs.LG]
2020 | Journal article
Source: Self-asserted source
John Duchi

First-Order Methods for Nonconvex Quadratic Minimization

SIAM Review
2020 | Journal article
Source: Self-asserted source
John Duchi

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

Proceedings of the 36th International Conference on Machine Learning
2020 | Conference paper
Source: Self-asserted source
John Duchi

Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms

Advances in Neural Information Processing Systems 34
2020 | Conference paper
Source: Self-asserted source
John Duchi

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

arxiv:2004.10181 [stat.ML]
2020 | Journal article
Source: Self-asserted source
John Duchi

Large-Scale Methods for Distributionally Robust Optimization

Advances in Neural Information Processing Systems 34
2020 | Conference paper
Source: Self-asserted source
John Duchi

Learning Models with Uniform Performance via Distributionally Robust Optimization

Annals of Statistics
2020 | Journal article
Source: Self-asserted source
John Duchi

Lower bounds for finding stationary points I

Mathematical Programming, Series A
2020 | Journal article
Source: Self-asserted source
John Duchi

Minibatch Stochastic Approximate Proximal Point Methods

Advances in Neural Information Processing Systems 34
2020 | Conference paper
Source: Self-asserted source
John Duchi

Near Instance-Optimality in Differential Privacy

arXiv:2005.10630 [cs.CR]
2020 | Journal article
Source: Self-asserted source
John Duchi

Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems

Advances in Neural Information Processing Systems 34
2020 | Conference paper
Source: Self-asserted source
John Duchi

Robust Validation: Confident Predictions Even When Distributions Shift

arXiv:2008.04267 [stat.ML]
2020 | Journal article
Source: Self-asserted source
John Duchi

Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations

Proceedings of the Thirty Third Annual Conference on Computational Learning Theory
2020 | Conference paper
Source: Self-asserted source
John Duchi

Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach

Mathematics of Operations Resaerch
2020 | Journal article
Source: Self-asserted source
John Duchi

Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

Proceedings of the 36th International Conference on Machine Learning
2020 | Conference paper
Source: Self-asserted source
John Duchi

A Rank-1 Sketch for Matrix Multiplicative Weights

Proceedings of the Thirty Second Annual Conference on Computational Learning Theory
2019 | Conference paper
Source: Self-asserted source
John Duchi

Asymptotic Optimality in Stochastic Optimization

Annals of Statistics
2019 | Journal article
Source: Self-asserted source
John Duchi

Element Level Differential Privacy: The Right Granularity of Privacy

arXiv:1912.04042 [cs.LG]
2019 | Journal article
Source: Self-asserted source
John Duchi

Gradient Descent Efficiently Finds the Cubic-Regularized Non-Convex Newton Step

SIAM Journal on Optimization
2019 | Journal article
URI:

https://epubs.siam.org/doi/abs/10.1137/17M1113898
Source: Self-asserted source
John Duchi

Lower bounds for finding stationary points II: First order methods

Mathematical Programming, Series A
2019 | Journal article
Source: Self-asserted source
John Duchi

Lower Bounds for Locally Private Estimation via Communication Complexity

Proceedings of the Thirty Second Annual Conference on Computational Learning Theory
2019 | Conference paper
Source: Self-asserted source
John Duchi

Lower Bounds for Non-Convex Stochastic Optimization

arXiv:1912.02365 [math.OC]
2019 | Journal article
Source: Self-asserted source
John Duchi

Mean Estimation from Adaptive One-bit Measurements

arXiv:1901.03403 [cs.IT]
2019 | Journal article
Source: Self-asserted source
John Duchi

Modeling simple structures and geometry for better stochastic optimization algorithms

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics
2019 | Conference paper
Source: Self-asserted source
John Duchi

Necessary and Sufficient Geometries for Adaptive Gradient Methods

Advances in Neural Information Processing Systems 33
2019 | Conference paper
Source: Self-asserted source
John Duchi

Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity

SIAM Journal on Optimization
2019 | Journal article
URI:

https://doi.org/10.1137/18M1230323
Source: Self-asserted source
John Duchi

The importance of better models in stochastic optimization

Proceedings of the National Academy of Sciences
2019 | Journal article
URI:

https://arXiv.org/abs/1903.08619
Source: Self-asserted source
John Duchi

Unlabeled Data Improves Adversarial Robustness

Advances in Neural Information Processing Systems 33
2019 | Conference paper
Source: Self-asserted source
John Duchi

Variance-based regularization with convex objectives

Journal of Machine Learning Research
2019 | Journal article
Source: Self-asserted source
John Duchi

A constrained risk inequality for general losses

arXiv:1804.08116 [stat.TH]
2018 | Journal article
Source: Self-asserted source
John Duchi

Accelerated Methods for Non-Convex Optimization

SIAM Journal on Optimization
2018 | Journal article
Source: Self-asserted source
John Duchi

Analysis of Krylov Subspace Solutions of Regularized Nonconvex Quadratic Problems

Advances in Neural Information Processing Systems 32
2018 | Conference paper
Source: Self-asserted source
John Duchi

Bounds on the conditional and average treatment effect in the presence of unobserved confounders

arXiv:1808.09521 [stat.ME]
2018 | Journal article
Source: Self-asserted source
John Duchi

Certifying Some Distributional Robustness with Principled Adversarial Training

Proceedings of the Sixth International Conference on Learning Representations
2018 | Conference paper
URI:

https://arxiv.org/abs/1710.10571
Source: Self-asserted source
John Duchi

Generalizing to Unseen Domains via Adversarial Data Augmentation

Advances in Neural Information Processing Systems 32
2018 | Conference paper
Source: Self-asserted source
John Duchi

Minimax Bounds on Stochastic Batched Convex Optimization

Proceedings of the Thirty First Annual Conference on Computational Learning Theory
2018 | Conference paper
Source: Self-asserted source
John Duchi

Minimax Optimal Procedures for Locally Private Estimation (with discussion)

Journal of the American Statistical Association
2018 | Journal article
Source: Self-asserted source
John Duchi

Multiclass classification, information, divergence, and surrogate risk

Annals of Statistics
2018 | Journal article
Source: Self-asserted source
John Duchi

Protection Against Reconstruction and Its Applications in Private Federated Learning

arXiv:1812.00984 [stat.ML]
2018 | Journal article
Source: Self-asserted source
John Duchi

Reducing optimization to repeated classification

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics
2018 | Conference paper
Source: Self-asserted source
John Duchi

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

Advances in Neural Information Processing Systems 31
2018 | Conference paper
Source: Self-asserted source
John Duchi

Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval

Information and Inference
2018 | Journal article
Source: Self-asserted source
John Duchi
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