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Meet the Fellows Welcome Event
Program
Causality
Location
Calvin Lab Auditorium
Date
Friday, Feb. 11, 2022
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Meet the Fellows Welcome Event
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Videos
Friday, Feb. 11, 2022
10
–
10:10 a.m.
Efficient Universal Estimators For Symmetric Property Estimation
Kirankumar Shiragur (Stanford University)
10:10
–
10:20 a.m.
Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy
Ellen Vitercik (UC Berkeley)
10:20
–
10:30 a.m.
Fair And Reliable Machine Learning For High-Stakes Applications:approaches Using Information Theory
Sanghamitra Dutta (JP Morgan)
10:30
–
10:40 a.m.
Information, Learning, And Incentive Design For Societal Networks
Manxi Wu (UC Berkeley)
10:50
–
11:20 a.m.
Break
11:20
–
11:30 a.m.
Causal Inference And Data-Driven Decision-Making
Angela Zhou (UC Berkeley)
11:30
–
11:40 a.m.
Stabilizing Q-Learning With Linear Architectures For Provable Efficient Learning
Andrea Zanette (UC Berkeley)
11:40
–
11:50 a.m.
Causal Inference With Corrupted Data: Measurement Error, Missing Values, Discretization, And Differential Privacy
Rahul Singh (MIT)
12
–
1:30 p.m.
Lunch
1:30
–
1:40 p.m.
Choosing Between Dags Can Be Hard
Richard Guo (University of Cambridge)
1:40
–
1:50 p.m.
Fundamental Limits Of Learning In Data-Driven Problems
Yanjun Han (Simons Institute)
1:50
–
2 p.m.
Algorithmic Advances For The Design And Analysis Of Randomized Control Trials
Christopher Harshaw (Yale)
2
–
2:10 p.m.
Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust Control
Kaiqing Zhang (MIT)
2:20
–
2:40 p.m.
Break
2:40
–
2:50 p.m.
Learning In The Presence Of Strategic Agents: Dynamics, Equilibria, And Convergence
Eric Mazumdar (Caltech)
2:50
–
3 p.m.
Causal Inference For Socio-Economic & Engineering Systems
Anish Agarwal (MIT EECS)
3
–
3:10 p.m.
Teamwork Makes The Von Neumann Work: Two Team Zero Sum Games
Emmanouil Vlatakis (Columbia University)
3:10
–
3:20 p.m.
Nonparametric Density Estimation and Convergence of GANs under Besov IPMs
Ananya Uppal (University of Texas at Austin)
3:20
–
4:20 p.m.
Reception
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