Complementary Information and Learning Traps

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=pq-qn5nSH2Q


Category:
Guide
Duration: 43:45
2,634 views
15

Annie Liang (University of Pennsylvania)
https://simons.berkeley.edu/talks/complementary-information-and-learning-traps
Information Design and Data Science



Other Videos By Simons Institute for the Theory of Computing


2019-10-02Lightning Talks
2019-10-02Expectations-Based Loss Aversion May Help Explain...
2019-10-02Quality Selection in Two-Sided Markets: A Price Discrimination Approach
2019-10-02Dashboard Mechanisms for Online Marketplaces
2019-10-01Information Acquisition and Provision in School Choice: An Experimental Study
2019-10-01The Content of Data: Backing out Preferences in Non-strategy Proof Mechanisms
2019-10-01Credible Mechanism
2019-10-01Obviousness Around the Clock
2019-10-01Incrementality Bidding and Attribution
2019-10-01Seeding with Costly Network Information
2019-10-01Complementary Information and Learning Traps
2019-09-30Simons Institute Polylogues: Algorithms and Race
2019-09-272-to-2 Games, the Grassmann Graph, and Hyper-contractivity
2019-09-27Role of Composition in low-error PCP constructions
2019-09-27Ligero: Sublinear Arguments from MPC-in-the-head
2019-09-27On The Power of Distributed Verifiers in Interactive Proofs
2019-09-26Fully Linear PCPs and their Cryptographic Applications
2019-09-26Streaming Verification of Graph Computations via Graph Structure
2019-09-26How to do Fiat-Shamir in the Standard Model
2019-09-26How to Delegate Computations Publicly
2019-09-25A Tight Parallel-Repetition Theorem for Random-Terminating Interactive Arguments


Tags:
Information Design and Data Science
Annie Liang
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley