Friday, April 26, 2024
Coffee and Continental Breakfast 9:00 AM - 10:00 AM
Introduction and WelcomeJoseph Chang, Yale University
Tamar Gendler, Yale University		10:00 AM - 10:15 AM
LectureAndrew Nobel, University of North Carolina at Chapel Hill "Network Comparison Via Optimal Transport"10:15 AM - 10:45 AM
LectureJohn Elder, Elder Research, Inc. "Statistical Inference In The Wild"10:45 AM - 11:15 AM
Coffee Break 11:15 AM - 11:45 AM
LectureAndrea Montanari, Stanford University "Solving Overparametrized Systems Of Nonlinear Equations"11:45 AM - 12:15 PM
Luncheon 12:15 PM - 1:15 PM
LectureMeir Feder, Tel Aviv University "Addressing Large Models: Multiple And Hierarchical Universality"1:15 PM - 1:45 PM
LectureJohn Lafferty, Yale University "Abstraction In Minds And Machines"1:45 PM - 2:15 PM
LectureDouglas Simpson, University of Illinois Urbana-Champaign "Robust Inference For Functional Data"2:15 PM - 2:45 PM
Coffee Break 2:45 PM - 3:15 PM
LectureMax Raginsky, University of Illinois at Urbana-Champaign "Structure And Randomness In Function Approximation, The Barron Way"3:15 PM - 3:45 PM
LectureCynthia Rush, Columbia University "Six Years Of Information Theory, Probability, And Statistical Learning: What It's Like To Be A Student Of Andrew Barron"3:45 PM - 4:15 PM
LectureRebecca Willett, University of Chicago "Learning Low-rank Functions With Neural Networks"4:15 PM - 4:45 PM
Poster Session 5:00 PM - 7:00 PM
Saturday, April 27, 2024
Coffee and Continental Breakfast 9:00 AM - 10:00 AM
LectureAndrew Barron, Yale University9:45 AM - 10:00 AM
LectureLee Jones, UMass Lowell "On Greedy Algorithms For Local Statistical Learning Of Nonlinear Functions"10:00 AM - 10:30 AM
LectureAad van der Vaart, Delft University of Technology "Linear Methods For Nonlinear Inverse Problems."10:30 AM - 11:00 AM
Coffee Break 11:00 AM - 11:30 AM
LectureYannick Baraud, University of Luxembourg "From Information Theory To Robust Bayesian Statistics"11:30 AM - 12:00 PM
LectureAlexandre Tsybakov, CREST-ENSAE Paris "Multi-view Models And Adaptive Density Estimation Under Low-rank Constraints"12:00 PM - 12:30 PM
Luncheon 12:30 PM - 1:30 PM
LectureTara Javidi, University of California at San Diego "Sequential Goodness-of-fit Testing For Markov Chains"1:30 PM - 2:00 PM
LectureTeemu Roos, University of Helsinki "Minimax Optimal Bayes Mixtures For Memoryless Sources Over Large Alphabets"2:00 PM - 2:30 PM
LectureIoannis Kontoyiannis, University of Cambridge "Information-theoretic Approaches To De Finetti-style Theorems"2:30 PM - 3:00 PM
Coffee Break 3:00 PM - 3:30 PM
LectureMokshay Madiman, University of Delaware "Old And New Vignettes In The World Of Entropy Power Inequalities"3:30 PM - 4:00 PM
LecturePeter Harremoes, Copenhagen Business College "Probability Via Expectation Measures"4:00 PM - 4:30 PM
LectureOliver Johnson, University of Bristol "Maximal Correlation And The Information-theoretic Central Limit Theorem"4:30 PM - 5:00 PM
Dinner 7:00 PM - 10:00 PM
Dedicatory remarks 7:00 PM - 10:00 PM
Sunday, April 28, 2024
Coffee and Continental Breakfast 9:00 AM - 9:30 AM
LectureJason Klusowski, Princeton University "Sharp Convergence Rates For Matching Pursuit"9:30 AM - 10:00 AM
LectureJun'ichi Takeuchi, Kyushu University "Tight Risk Bound Of MDL Estimators For Simple ReLU Neural Networks"10:00 AM - 10:30 AM
LectureVince Poor, Princeton University "Andrew: The Illinois Years"10:30 AM - 11:00 AM
Coffee Break 11:00 AM - 11:30 AM
LectureIain Johnstone, Stanford University "Complex Variables And The Central Limit Theorem"11:30 AM - 12:00 PM
LectureRamji Venkataramanan, University of Cambridge "Sparse Superposition Coding And Communication Over Many-User Channels"12:00 PM - 12:30 PM
Luncheon 12:30 PM - 1:30 PM