A Personal Viewpoint on Probabilistic Programming

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


Duration: 1:03:22
5,436 views
85

Daniel Roy, University of Toronto
https://simons.berkeley.edu/talks/daniel-roy-10-06-2016
Uncertainty in Computation



Other Videos By Simons Institute for the Theory of Computing


2016-10-07Black-Box Variational Inference for Probabilistic Programs
2016-10-07Semantic Foundations for Probabilistic Programming
2016-10-07Approximation Algorithms for Optimization under Uncertainty
2016-10-07Outposts Between Worst- and Average Case Analysis: A Case Study in Auction Design
2016-10-07Random Projections for Probabilistic Inference
2016-10-07Learning about Auctions
2016-10-06Constrained Sampling and Counting
2016-10-06Axioms for Information Leakage
2016-10-06Pufferfish Privacy Mechanisms for Correlated Data
2016-10-06Differential Privacy
2016-10-06A Personal Viewpoint on Probabilistic Programming
2016-10-06Probabilistic Programming for Augmented Intelligence
2016-10-05Probabilistic Reasoning by First-Order Model Counting
2016-10-05Stochastic Control via Entropy Compression
2016-10-05Scalable Collective Inference from Richly Structured Data using Probabilistic Soft Logic (PSL)
2016-10-05Approximate Lifted Inference with Probabilistic Databases
2016-10-05Fourier Representations in Probabilistic Inference
2016-10-05A Dichotomy for Queries with Negation in Probabilistic Databases
2016-10-05Brief Tutorial on Probabilistic Databases
2016-10-04Three Problems in Computable Probability Theory
2016-10-04Controlling Probabilistic Systems Under Partial Observation


Tags:
Uncertainty in Computation
Daniel Roy
Theoretical Computer Science
Simons Institute
Theory of Computation
UC Berkeley
Computer Science
Theory of Computing