Causal Inference For Socio-Economic & Engineering Systems

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=obcZoDEbLDA


Duration: 11:25
340 views
0

Anish Agarwal (MIT EECS)
https://simons.berkeley.edu/talks/causal-inference-socio-economic-engineering-systems
Meet the Fellows Welcome Event



Other Videos By Simons Institute for the Theory of Computing


2022-02-15To Adjust Or Not To Adjust? Estimating The Average Treatment Effect In Randomized Experiments...
2022-02-15Panel Discussion
2022-02-15Learning from RCTs in Public Health and Medicine
2022-02-15Counterfactual Inference For Sequential Experiment Design
2022-02-15Panel Discussion
2022-02-15Online Reinforcement Learning With The Help Of Confounded Offline Data
2022-02-14Learning Causal Representations From Unknown Interventions
2022-02-14Causal Emergence: When Distortions In A Map Obscure The Territory
2022-02-12Nonparametric Density Estimation and Convergence of GANs under Besov IPMs
2022-02-12Teamwork Makes The Von Neumann Work: Two Team Zero Sum Games
2022-02-12Causal Inference For Socio-Economic & Engineering Systems
2022-02-12Learning In The Presence Of Strategic Agents: Dynamics, Equilibria, And Convergence
2022-02-12Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust Control
2022-02-12Algorithmic Advances For The Design And Analysis Of Randomized Control Trials
2022-02-12Fundamental Limits Of Learning In Data-Driven Problems
2022-02-12Choosing Between Dags Can Be Hard
2022-02-12Causal Inference With Corrupted Data: Measurement Error, Missing Values, Discretization, And...
2022-02-12Causal Inference And Data-Driven Decision-Making
2022-02-11Information, Learning, And Incentive Design For Societal Networks
2022-02-11Fair And Reliable Machine Learning For High-Stakes Applications:approaches Using Information Theory
2022-02-11Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy