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Coffee and Check-In
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Modern paradigms of generalization, the heliocentric model of Aristarchus, gradient descent is a lazy scientist, and other stories
Matus Telgarsky (Courant Institute, NYU)
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Break
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Towards Understanding Generalization Properties of Score-Based Losses
Andrej Risteski (Carnegie Mellon University)
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Lunch (on your own)
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Overview of Statistical Learning Theory Part 1
Nati Srebro (Toyota Technological Institute at Chicago)
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Break
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Generalization in natural language processing
Alane Suhr (University of California, Berkeley)
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Reception
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Coffee and Check-In
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Prediction, Generalization, Complexity: Revisiting the Classical View from Statistics Part 1
Ryan Tibshirani (University of California, Berkeley)
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Break
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Robust Optimization and Generalization
John Duchi (Stanford University)
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Lunch (on your own)
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An overview of classical robust statistics and generalizations to the future
Po-Ling Loh (University of Cambridge)
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Break
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Prediction, Generalization, Complexity: Revisiting the Classical View from Statistics Part 2
Ryan Tibshirani (University of California, Berkeley)
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Break
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Overview of Statistical Learning Theory Part 2
Nati Srebro (Toyota Technological Institute at Chicago)
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Coffee and Check-In
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Statistical Limits of Causal Inference
Sivaraman Balakrishnan (Carnegie Mellon University)
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Break
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TBD
Zico Kolter (CMU Bosch)
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Lunch (on your own)
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Learning probability distributions; what can, what can't be done (virtual)
Shai Ben-David (University of Waterloo)
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Break
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Understanding Generalization from Pre-training Loss to Downstream Tasks
Tengyu Ma (Stanford University)
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Break
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A Theory of Multi-objective Machine Learning
Nika Haghtalab (University of California, Berkeley)
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Coffee and Check-In
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Reconsidering Overfitting in the Age of Overparameterized Models (virtual)
Fanny Yang (ETH Zurich)
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Break
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The elusive generalization: classical bounds to double descent to grokking
Misha Belkin (University of California, San Diego)
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Lunch (on your own)
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Measures of relatedness in domain adaptation and related problems.
Samory Kpotufe (Columbia University)
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Break
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Above Average-Case Analysis
Ankur Moitra (Massachusetts Institute of Technology)
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Closing