Michael Jordan

28 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-8935-817X

Publications

• A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Valid Inference After Causal Discovery — Journal of the American Statistical Association 2025
• Learn then test: Calibrating predictive algorithms to achieve risk control — The Annals of Applied Statistics 2025
• Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback — Operations Research 2025
• Bayesian Robustness: A Nonasymptotic Viewpoint — Journal of the American Statistical Association 2024
• Reinforcement Learning in Latent Heterogeneous Environments — Journal of the American Statistical Association 2024
• Post-selection inference via algorithmic stability — The Annals of Statistics 2023
• A Bayesian nonparametric approach to super-resolution single-molecule localization — The Annals of Applied Statistics 2021
• Singularity, misspecification and the convergence rate of EM — The Annals of Statistics 2020
• Fundamental limits of detection in the spiked Wigner model — The Annals of Statistics 2020
• A sequential algorithm for false discovery rate control on directed acyclic graphs — Biometrika 2019
• Communication-Efficient Distributed Statistical Inference — Journal of the American Statistical Association 2019
• A unified treatment of multiple testing with prior knowledge using the p-filter — The Annals of Statistics 2019
• Minimax Optimal Procedures for Locally Private Estimation — Journal of the American Statistical Association 2018
• Rejoinder — Journal of the American Statistical Association 2018
• Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach — Journal of the American Statistical Association 2017
• On the computational complexity of high-dimensional Bayesian variable selection — The Annals of Statistics 2016
• A scalable bootstrap for massive data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Joint modeling of multiple time series via the beta process with application to motion capture segmentation — The Annals of Applied Statistics 2014
• The asymptotics of ranking algorithms — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• Bayesian inference for queueing networks and modeling of internet services — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
• Support union recovery in high-dimensional multivariate regression — The Annals of Statistics 2011
• Leo Breiman — The Annals of Applied Statistics 2010
• On surrogate loss functions and f-divergences — The Annals of Statistics 2009 (name-matched, not ORCID-linked)
• Kernel dimension reduction in regression — The Annals of Statistics 2009
• Convexity, Classification, and Risk Bounds — Journal of the American Statistical Association 2006
• Hierarchical Dirichlet Processes — Journal of the American Statistical Association 2006
• Principal-Agent Hypothesis Testing — Journal of the American Statistical Association (name-matched, not ORCID-linked)