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Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization


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

* 32 pages, 18 figures 

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Empirical Gateaux Derivatives for Causal Inference


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

* Comments welcome 

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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

* 42 pages 

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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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Mechanisms that Incentivize Data Sharing in Federated Learning


Jul 10, 2022
Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan


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