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Michael Jordan

Professor

University of California, Berkeley

United States

Research Interests

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Articles (19)

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2026

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Collaborators (9)

Can Ergen

Group Leader

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY

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Meena Jagadeesan

Assistant Professor

University of Pennsylvania

UNITED STATES

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Jennifer A. Doudna

University of California

UNITED STATES

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Elynn Chen

New York University

UNITED STATES

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Jelena Diakonikolas

Assistant Professor

University of Wisconsin-Madison

UNITED STATES

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José L. McFaline-Figueroa

Assistant Professor

Columbia University

UNITED STATES

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Mariano Ignacio Gabitto

Assistant Investigator

Allen Institute for Brain Science

UNITED STATES

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S. Shankara Sastry

Professor

University of California, Berkeley

UNITED STATES

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Justin Hong

Columbia University

UNITED STATES

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Michael Jordan

Research Interests

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Articles (19)

A Collectivist, Economic Vision for AI

Breaking Feedback Loops in Recommender Systems with Causal Inference

On Finding Local Nash Equilibria (and only Local Nash Equilibria) in Zero-Sum Games

Functional protein mining with conformal guarantees

Deep generative modeling of sample-level heterogeneity in single-cell genomics

Safety versus performance: How multi-objective learning reduces barriers to market entry

Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

Relying on the Metrics of Evaluated Agents

Transfer Q-learning for finite-horizon Markov decision processes

MultiVI: deep generative model for the integration of multimodal data

Provably Efficient Reinforcement Learning with Linear Function Approximation

Skilful nowcasting of extreme precipitation with NowcastNet

Learning Equilibria in Matching Markets with Bandit Feedback

Monotone Inclusions, Acceleration, and Closed-Loop Control

Conformal prediction under feedback covariate shift for biomolecular design

SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier

Something New Is Afoot in Academia

Generalized Momentum-Based Methods: A Hamiltonian Perspective

Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis

Collaborators (9)

Can Ergen

Meena Jagadeesan

Jennifer A. Doudna

Elynn Chen

Jelena Diakonikolas

José L. McFaline-Figueroa

Mariano Ignacio Gabitto

S. Shankara Sastry

Justin Hong

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