Playlist: 44 videos Workshops

Information Theory, Learning and Big Data

Mar. 16 – Mar. 20, 2015

The three terms in the title of the workshop are three facets of the same basic question: what information can be gleaned from observed data? In information theory, especially in universal compression, observed data is used...

0:23:7

Low-Rank Matrix Recovery Through Rank-One Projections

Tony Cai, University of Pennsylvania
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/tony-cai-2015-03-16
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0:27:39

Sketching for M-Estimators: A Unified Approach to Robust Regression

David Woodruff, IBM Almaden
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/david-woodruff-2015-03-16
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0:24:44

Simple, Efficient and Neural Algorithms for Sparse Coding

Ankur Moitra, Massachusetts Institute of Technology
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/ankur-moitra-2015-03-16
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0:26:34

Learning a Hidden Basis through Imperfect Measurements: Why and How

Misha Belkin, Ohio State University
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/misha-belkin-2015-03-16
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0:25:16

Constrained Rank Aggregation and Correlation Clustering

Olgica Milenkovic, University of Illinois, Urbana‑Champaign
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/olgica-milenkovic-2015-03-16
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0:21:29

Testing Distribution Families

Jayadev Acharya, Massachusetts Institute of Technology
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/jayadev-acharya-2015-03-16
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0:24:31

Fundamental Limit of Community Detection in Stochastic Block Models

Emmanuel Abbe, Princeton University
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/emmanuel-abbe-2015-03-16
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0:23:15

How Large is the Norm of a Random Matrix?

Ramon van Handel, Princeton University
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/ramon-van-handel-2015-03-16
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0:25:1

Lucky Talk: From Coding to Clustering

Emmanuel Abbe, Princeton University
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/emmanuel-abbe-2015-03-17
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0:28:34

Chebyshev Polynomials, Moment Matching and Optimal Estimation of the Unseen

Yihong Wu, University of Illinois, Urbana‑Champaign
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/yihong-wu-2015-03-17
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