Symposia
Spring 2022

Meet the Fellows Welcome Event

Friday, Feb 11, 2022 

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Program: 
Causality, Learning and Games
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A welcome event for all Simons fellows to introduce them and welcome them to the Simons community. All fellows will present a 10-minute talk with the aim of making introductions to each other, program participants, and the broader research community at Berkeley.

Please also join our fellows for a welcome reception at 3:20 p.m.

Talks

Efficient Universal Estimators For Symmetric Property Estimation
Speaker: Kirankumar Shiragur (Stanford University)
Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy
Speaker: Ellen Vitercik (UC Berkeley)
Fair And Reliable Machine Learning For High-Stakes Applications:approaches Using Information Theory
Speaker: Sanghamitra Dutta (JP Morgan)
Information, Learning, And Incentive Design For Societal Networks
Speaker: Manxi Wu (UC Berkeley)
Causal Inference And Data-Driven Decision-Making
Speaker: Angela Zhou (UC Berkeley)
Stabilizing Q-Learning With Linear Architectures For Provable Efficient Learning
Speaker: Andrea Zanette (UC Berkeley)
Causal Inference With Corrupted Data: Measurement Error, Missing Values, Discretization, And Differential Privacy
Speaker: Rahul Singh (MIT)
Choosing Between Dags Can Be Hard
Speaker: Richard Guo (University of Cambridge)
Fundamental Limits Of Learning In Data-Driven Problems
Speaker: Yanjun Han (Simons Institute)
Algorithmic Advances For The Design And Analysis Of Randomized Control Trials
Speaker: Christopher Harshaw (Yale)
Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust Control
Speaker: Kaiqing Zhang (MIT)
Learning In The Presence Of Strategic Agents: Dynamics, Equilibria, And Convergence
Speaker: Eric Mazumdar (Caltech)
Causal Inference For Socio-Economic & Engineering Systems
Speaker: Anish Agarwal (MIT EECS)
Teamwork Makes The Von Neumann Work: Two Team Zero Sum Games
Speaker: Emmanouil Vlatakis (Columbia University)
Nonparametric Density Estimation and Convergence of GANs under Besov IPMs
Speaker: Ananya Uppal (University of Texas Austin)