Research area
ML Theory
Generalization, sample complexity, and provable algorithms.
Faculty
Adam Block
Steering Committee
Assistant Professor, Computer Science. Research: ML Theory, Optimization, Reinforcement Learning.
Micah Goldblum
Steering Committee
Assistant Professor, Electrical Engineering. Research: Agents, Deep Learning, ML Theory, Natural Language, Reinforcement Learning.
Daniel Hsu
Steering Committee
Associate Professor, Computer Science. Research: Deep Learning, ML Theory, Statistical ML.
Shipra Agrawal
SEAS Faculty
Associate Professor, IEOR. Research: ML Theory, Optimization, Reinforcement Learning.
Alexandr Andoni
SEAS Faculty
Professor, Computer Science. Research: ML Theory.
Marco Avella-Medina
Affiliate Faculty
Associate Professor, Statistics. Research: Statistical ML, ML Theory.
Adam Cannon
SEAS Faculty
Teaching Professor, Computer Science. Research: ML Theory.
Rachel Cummings
SEAS Faculty
Associate Professor, Industrial Engineering & Operations Research. Research: Bioinformatics, ML Theory, Optimization, Statistical ML.
Christopher Harshaw
Affiliate Faculty
Assistant Professor, Statistics. Research: Causality, ML Theory.
Samory Kpotufe
Affiliate Faculty
Professor, Statistics. Research: ML Theory, Statistical ML.
Arian Maleki
Affiliate Faculty
Professor, Statistics. Research: Statistical ML, ML Theory.
Toniann Pitassi
SEAS Faculty
Professor, Computer Science. Research: ML Theory.
Cynthia Rush
Affiliate Faculty
Associate Professor, Statistics. Research: Statistical ML, ML Theory.
Rocco Servedio
SEAS Faculty
Professor, Computer Science. Research: ML Theory.
Nakul Verma
SEAS Faculty
Senior Lecturer, Computer Science. Research: ML Theory, Statistical ML.
Postdoctoral Researchers
Yoonhaeng Hur
Postdoctoral Researcher, Statistics. Advised by Genevera Allen. Research: Causality, Explainable AI, ML Theory, Statistical ML.
PhD Students
Priyank Agrawal
PhD Student, IEOR. Advised by Shipra Agrawal. Research: Reinforcement Learning, ML Theory.
Mariam Avagyan
PhD Student, Electrical Engineering. Advised by John Wright. Research: Optimization, ML Theory.
Noah Bergam
PhD Student, Computer Science. Advised by Daniel Hsu, Andrew Blumberg. Research: Deep Learning, ML Theory, Statistical ML.
Judah Goldfeder
PhD Student, Computer Science. Advised by Hod Lipson. Research: Agents, Deep Learning, Explainable AI, ML Theory, Reinforcement Learning, Robotics, Vision.
Yizhi Huang
PhD Student, Computer Science. Advised by Rocco Servedio, Josh Alman, Tal Malkin. Research: ML Theory.
Baitian Li
PhD Student, Computer Science. Advised by Toniann Pitassi, Josh Alman. Research: ML Theory.
Yuhao Li
PhD Student, Computer Science. Advised by Rocco Servedio, Xi Chen. Research: ML Theory.
Jingwen Liu
PhD Student, Computer Science. Advised by Alexandr Andoni, Daniel Hsu. Research: Deep Learning, ML Theory, Reinforcement Learning.
William Pires
PhD Student, Computer Science. Advised by Rocco Servedio, Xi Chen, Toniann Pitassi. Research: ML Theory.
Ved Sriraman
PhD Student. Advised by Adam Block. Research: ML Theory, Natural Language, Reinforcement Learning.
Leonardo Felipe Toso
PhD Student, Electrical Engineering. Advised by James Anderson. Research: Optimization, ML Theory, Reinforcement Learning.
Tim Wang
PhD Student, Electrical Engineering. Advised by John Wright. Research: Optimization, ML Theory.
Nathan Weill
PhD Student, IEOR. Advised by Kaizheng Wang. Research: ML Theory, Statistical ML.
Tianqi Yang
PhD Student, Computer Science. Advised by Rocco Servedio, Toniann Pitassi, Tal Malkin. Research: ML Theory.
Styopa Zharkov
PhD Student, Computer Science. Advised by Alexandr Andoni, Cliff Stein. Research: ML Theory.
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