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Efficient Universal Estimators For Symmetric Property Estimation

Kirankumar Shiragur (Stanford University)
Video
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Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy

Ellen Vitercik (UC Berkeley)
Video
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Fair And Reliable Machine Learning For High-Stakes Applications:approaches Using Information Theory

Sanghamitra Dutta (JP Morgan)
Video
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Information, Learning, And Incentive Design For Societal Networks

Manxi Wu (UC Berkeley)
Video
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Break
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Causal Inference And Data-Driven Decision-Making

Angela Zhou (UC Berkeley)
Video
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Stabilizing Q-Learning With Linear Architectures For Provable Efficient Learning

Andrea Zanette (UC Berkeley)
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Causal Inference With Corrupted Data: Measurement Error, Missing Values, Discretization, And Differential Privacy

Rahul Singh (MIT)
Video
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Lunch
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Choosing Between Dags Can Be Hard

Richard Guo (University of Cambridge)
Video
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Fundamental Limits Of Learning In Data-Driven Problems

Yanjun Han (Simons Institute)
Video
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Algorithmic Advances For The Design And Analysis Of Randomized Control Trials

Christopher Harshaw (Yale)
Video
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Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust Control

Kaiqing Zhang (MIT)
Video
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Break
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Learning In The Presence Of Strategic Agents: Dynamics, Equilibria, And Convergence

Eric Mazumdar (Caltech)
Video
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Causal Inference For Socio-Economic & Engineering Systems

Anish Agarwal (MIT EECS)
Video
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Teamwork Makes The Von Neumann Work: Two Team Zero Sum Games

Emmanouil Vlatakis (Columbia University)
Video
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Nonparametric Density Estimation and Convergence of GANs under Besov IPMs

Ananya Uppal (IFML, UT Austin)
Video
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Reception