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Data Sharing Markets


Jul 20, 2021
Mohammad Rasouli, Michael I. Jordan


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On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems


Jul 17, 2021
Michael Muehlebach, Michael I. Jordan

* 40 pages, 10 figures 

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Robust Learning of Optimal Auctions


Jul 13, 2021
Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis


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Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics


Jul 12, 2021
Ryan Giordano, Runjing Liu, Michael I. Jordan, Tamara Broderick

* 65 pages, 20 figures 

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On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging


Jun 30, 2021
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan


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Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence


Jun 30, 2021
Ghassen Jerfel, Serena Wang, Clara Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan

* Accepted for the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) 

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Taming Nonconvexity in Kernel Feature Selection---Favorable Properties of the Laplace Kernel


Jun 29, 2021
Feng Ruan, Keli Liu, Michael I. Jordan

* 28 pages main text 

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On component interactions in two-stage recommender systems


Jun 28, 2021
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus


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Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning


Jun 28, 2021
Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan


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The Stereotyping Problem in Collaboratively Filtered Recommender Systems


Jun 23, 2021
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg


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Who Leads and Who Follows in Strategic Classification?


Jun 23, 2021
Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan


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Test-time Collective Prediction


Jun 22, 2021
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan


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Online Learning of Competitive Equilibria in Exchange Economies


Jun 11, 2021
Wenshuo Guo, Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I. Jordan, Ion Stoica

* 31 pages, 6 figures 

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PAC Best Arm Identification Under a Deadline


Jun 08, 2021
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez

* In submission 

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On the Theory of Reinforcement Learning with Once-per-Episode Feedback


Jun 07, 2021
Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan


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Parallelizing Contextual Linear Bandits


May 21, 2021
Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter Bartlett, Michael I. Jordan


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Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization


Apr 27, 2021
Yaodong Yu, Tianyi Lin, Eric Mazumdar, Michael I. Jordan

* The first three authors contributed equally to this work; 37 pages, 20 figures 

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Multi-Source Causal Inference Using Control Variates


Mar 30, 2021
Wenshuo Guo, Serena Wang, Peng Ding, Yixin Wang, Michael I. Jordan


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On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective


Mar 27, 2021
Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry


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A Variational Inequality Approach to Bayesian Regression Games


Mar 24, 2021
Wenshuo Guo, Michael I. Jordan, Tianyi Lin


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Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data


Mar 05, 2021
Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan

* 30 pages,9 figures 

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Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors


Feb 13, 2021
Xiaowu Dai, Michael I. Jordan


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Private Prediction Sets


Feb 11, 2021
Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan

* Code available at https://github.com/aangelopoulos/private_prediction_sets 

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Distribution-Free, Risk-Controlling Prediction Sets


Jan 30, 2021
Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan

* Project website available at http://www.angelopoulos.ai/blog/posts/rcps/ and codebase available at https://github.com/aangelopoulos/rcps 

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Bandit Learning in Decentralized Matching Markets


Dec 31, 2020
Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan

* 23 pages 

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Stochastic Approximation for Online Tensorial Independent Component Analysis


Dec 28, 2020
Chris Junchi Li, Michael I. Jordan


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