All Day
Taiji Suzuki (Univ. Tokyo) – Feature learning perspective of deep foundation models: statistical and optimization theories
FEATURE LEARNING PERSPECTIVE OF DEEP FOUNDATION MODELS: STATISTICAL AND OPTIMIZATION THEORIES TAIJI SUZUKI University of Tokyo Department of Mathematical Informatics Schedule: March 16, 2026 | 2PM - 5PM - Room 2005 March 19, 2026 | 2PM - 5PM - Room 2005 March 26, 2026 | 2PM - 5PM - Room 2005 March 30, 2026 | […]
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Xunyu Zhou (Columbia University) – Introduction to Continuous-Time Reinforcement Learning
INTRODUCTION TO CONTINUOUS-TIME REINFORCEMENT LEARNING XUNYU ZHOU Columbia University Industrial Engineering & Operations Research Department Schedule: March 9, 2026 | 1:30PM - 5:30PM - Room 2006 March 12, 2026 | 1:30PM - 5:30PM - Room 2006 March 16, 2026 | 1:30PM - 5:30PM - Room 2006 Content: This crash course covers fundamental theory and algorithms […]
Find out more »12:15 pm
Domenico GIANNONE (Johns Hopkins University) “Bayesian Inference in IV Regression”
Macro seminar Time : 12h15 - 13h30 Date : 16th March 2026 Salle 3001 Domenico GIANNONE (Johns Hopkins University) "Bayesian Inference in IV Regression" Abstract: It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the […]
Find out more »2:00 pm
Gabor LUGOSI (Universitat Pompeu Fabra) – Structure learning and property testing in graphical models
Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:00 pm Date: 16th March Place: 3001 Gabor LUGOSI (Universitat Pompeu Fabra) - Structure learning and property testing in graphical models Abstract: The dependence structure of high-dimensional distributions is often modeled by graphical models. The problem of learning the graph underlying such distributions […]
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