The Limits of Post-Selection Generalization

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


Duration: 36:04
364 views
3

Uri Stemmer (Ben Gurion University)
https://simons.berkeley.edu/talks/tba-66
Privacy and the Science of Data Analysis



Other Videos By Simons Institute for the Theory of Computing


2019-04-30First-Order Methods and Hyperbolic Programming
2019-04-30Primal-Dual Algorithms for Hyperbolic Programming Problems
2019-04-30Certificates of Polynomial Non-Negativity via Hyperbolic Optimization
2019-04-13Privacy Challenges in Machine Learning
2019-04-13Forensics and Zero Knowledge
2019-04-13Lattice-Based Zero Knowledge and Applications
2019-04-13Classical Zero Knowledge Arguments for Quantum Computing
2019-04-13Algorand: The Truly Distributed Ledger
2019-04-13From Zero Knowledge to Private Transactions
2019-04-12A Necessary and Sufficient Stability Notion for Adaptive Generalization
2019-04-12The Limits of Post-Selection Generalization
2019-04-12On the Power of Interactivity in Local Differential Privacy
2019-04-12Smooth Sensitivity, Revisited
2019-04-12Towards a Characterization of Differentially Private Learning
2019-04-12Groups and Individuals in Fairness and Probability
2019-04-12Is Interaction Necessary for Distributed Private Learning?
2019-04-11Private Learning with Auxiliary Public Data
2019-04-11Federated Heavy Hitters Discovery with Differential Privacy
2019-04-11Private Center Points and Learning of Halfspaces
2019-04-11Learning without Interaction Requires Separation
2019-04-11Private Meta-Selection


Tags:
Simons Institute
theoretical computer science
UC Berkeley
Theory of Computing
Theory of Computation
Computer Science
Privacy and the Science of Data Analysis
Uri Stemmer