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Michael I. Jordan

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QuTE: decentralized multiple testing on sensor networks with false discovery rate control

Oct 09, 2022
Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan

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A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning

Sep 30, 2022
Zixiang Chen, Chris Junchi Li, Angela Yuan, Quanquan Gu, Michael I. Jordan

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Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization

Sep 12, 2022
Tianyi Lin, Zeyu Zheng, Michael I. Jordan

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Empirical Gateaux Derivatives for Causal Inference

Aug 31, 2022
Michael I. Jordan, Yixin Wang, Angela Zhou

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Competition, Alignment, and Equilibria in Digital Marketplaces

Aug 30, 2022
Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab

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Valid Inference after Causal Discovery

Aug 11, 2022
Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan

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Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium

Aug 10, 2022
Chris Junchi Li, Dongruo Zhou, Quanquan Gu, Michael I. Jordan

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Breaking Feedback Loops in Recommender Systems with Causal Inference

Jul 15, 2022
Karl Krauth, Yixin Wang, Michael I. Jordan

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Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata

Jul 14, 2022
Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan

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TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels

Jul 13, 2022
Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

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