Robust Inference and Local Algorithms

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=aeGqs8bSHjY


Duration: 24:06
392 views
4

Yishay Mansour, Tel Aviv University
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/yishay-mansour-2015-03-19



Other Videos By Simons Institute for the Theory of Computing


2015-03-25Confidence-Based Active Learning
2015-03-25Lucky Talk: Low-regret Recommendations and Item-item Collaborative Filtering
2015-03-25Learning Sparse Data with Near-optimal Speed and Efficiency from a Variety of Measurement Processes
2015-03-25Approximating Spherical Gaussian Mixtures
2015-03-25Constructing Informative Features for Discriminative Learning
2015-03-25Strong Data Processing Inequalities: Applications to MCMC and Graphical Models
2015-03-25On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
2015-03-25Fast Approximations of the Pattern Maximum Likelihood Estimate
2015-03-25Testing Probability Distributions using Conditional Samples
2015-03-25Detection and Estimation through an Information Theory Lens
2015-03-25Robust Inference and Local Algorithms
2015-03-18Deciphering the Good-Turing Enigma: Estimating Probabilities of Unlikely and Unseen Events
2015-02-24Symmetric Product Codes
2015-02-19Non-malleable Codes Against Constant Split-state Tampering
2015-02-19Reed-Muller and Other Subcodes of the Sierpinski Matrix
2015-02-19New Problems in Coding Theory with Applications to Modern Data Storage and Memories
2015-02-19Polar Codes over q-ary Alphabets and Polynomially Fast Convergence to Shannon Capacity
2015-02-19A Student's View of Locally Repairable Codes
2015-02-19Codes for Distributed Storage: Recent Results
2015-02-19Structural Properties of Erasure Codes for Streaming Communication
2015-02-19Deletion Codes in the High-noise and High-rate Regimes


Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Information Theory
Yishay Mansour