Playlist: 50 videos

Meet the Fellows Welcome Event

0:13:55

Efficient Universal Estimators For Symmetric Property Estimation

Kirankumar Shiragur (Stanford University)
https://simons.berkeley.edu/talks/efficient-universal-estimators-symmetric-property-estimation
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0:9:11

Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy

Ellen Vitercik (UC Berkeley)
https://simons.berkeley.edu/talks/theoretical-foundations-data-driven-algorithm-design
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0:14:25

Fair And Reliable Machine Learning For High-Stakes Applications:approaches Using Information Theory

Sanghamitra Dutta (JP Morgan)
https://simons.berkeley.edu/talks/fair-and-reliable-machine-learning-high-stakes-applicationsapproaches-using-information-theory
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0:14:15

Information, Learning, And Incentive Design For Societal Networks

Manxi Wu (UC Berkeley)
https://simons.berkeley.edu/talks/information-learning-and-incentive-design-societal-networks
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0:12:25

Causal Inference And Data-Driven Decision-Making

Angela Zhou (UC Berkeley)
https://simons.berkeley.edu/talks/causal-inference-and-data-driven-decision-making
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0:10:36

Causal Inference With Corrupted Data: Measurement Error, Missing Values, Discretization, And Differential Privacy

Rahul Singh (MIT)
https://simons.berkeley.edu/talks/causal-inference-corrupted-data-measurement-error-missing-values-discretization-and
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0:10:36

Choosing Between Dags Can Be Hard

Richard Guo (University of Cambridge)
https://simons.berkeley.edu/talks/choosing-between-dags-can-be-hard
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0:14:35

Fundamental Limits Of Learning In Data-Driven Problems

Yanjun Han (Simons Institute)
https://simons.berkeley.edu/talks/fundamental-limits-learning-data-driven-problems
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0:12:50

Algorithmic Advances For The Design And Analysis Of Randomized Control Trials

Christopher Harshaw (Yale)
https://simons.berkeley.edu/talks/algorithmic-advances-design-and-analysis-randomized-control-trials
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0:14:35

Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust Control

Kaiqing Zhang (MIT)
https://simons.berkeley.edu/talks/multi-agent-reinforcement-learning-stochastic-games-alphago-robust-control
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