Collection Nexus Trimester - 2016 - Inference Problems Theme
Apparaît dans la collection : 2016 - T1 - Nexus of Information and Computation Theory
Mathématiques
et Interactions
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Toutes les vidéos de la collection (41)
![Dynamics of Randomized Row-Action Methods for High-Dimensional Estimation]()
40:14publiée le 28 mars 2016Dynamics of Randomized Row-Action Methods for High-Dimensional Estimation
De Yue Lu
![Sampling from log-concave non-smooth densities or when Moreau meets Langevin]()
56:03publiée le 28 mars 2016Sampling from log-concave non-smooth densities or when Moreau meets Langevin
De Eric Moulines
![Testing properties of distributions over big domains : An introduction]()
43:00publiée le 28 mars 2016Testing properties of distributions over big domains : An introduction
De Ronitt Rubinfeld
![Testing properties of distributions over big domains : information theoretic quantities]()
48:15publiée le 28 mars 2016Testing properties of distributions over big domains : information theoretic quantities
De Ronitt Rubinfeld
![Communication Complexity of Learning Discrete Distributions]()
42:31publiée le 28 mars 2016Communication Complexity of Learning Discrete Distributions
De Krzysztof Onak
![Nonasymptotic guarantees for sampling from a log-concave density]()
45:26publiée le 28 mars 2016Nonasymptotic guarantees for sampling from a log-concave density
De Arnak Dalalyan
![Communication Complexity with a more-than usal emphasis on Upper Bounds. Part 1 : Setting the stage]()
43:15publiée le 28 mars 2016Communication Complexity with a more-than usal emphasis on Upper Bounds. Part 1 : Setting the stage
De Amit Chakrabarti
![Communication Complexity with a more-than usal emphasis on Upper Bounds. Part 2 : The Information Complexity Paradigm]()
56:17publiée le 28 mars 2016Communication Complexity with a more-than usal emphasis on Upper Bounds. Part 2 : The Information Complexity Paradigm
De Amit Chakrabarti
![Testing temporal causality and estimating directed information]()
38:53publiée le 8 avril 2016Testing temporal causality and estimating directed information
De Ioannis Kontoyiannis
![An Optimal Affine Invariant Smooth Minimization Algorithm]()
52:44publiée le 8 avril 2016An Optimal Affine Invariant Smooth Minimization Algorithm
De Alexandre d'Aspremont
![Efficient Monte Carlo Methods for the Potts Model at Low Temperature]()
41:57publiée le 8 avril 2016Efficient Monte Carlo Methods for the Potts Model at Low Temperature
De Mehdi Molkaraie
![(Arguably) Hard on Average Optimization Problems and the Overlap Gap Property]()
50:24publiée le 8 avril 2016(Arguably) Hard on Average Optimization Problems and the Overlap Gap Property
De David Gamarnik
![Factor Graphs, Belief Propagation, and Density Evolution – 1/2]()
54:23publiée le 8 avril 2016Factor Graphs, Belief Propagation, and Density Evolution – 1/2
De Henry Pfister
![Factor Graphs, Belief Propagation, and Density Evolution – 2/2]()
53:21publiée le 8 avril 2016Factor Graphs, Belief Propagation, and Density Evolution – 2/2
De Henry Pfister
![Iteratively-Decoded Erasure-Correcting Coding for Distributed Storage]()
51:24publiée le 8 avril 2016Iteratively-Decoded Erasure-Correcting Coding for Distributed Storage
De Iryna Andriyanova
![Understanding the MMSE of compressed sensing one measurement at a time]()
48:24publiée le 8 avril 2016Understanding the MMSE of compressed sensing one measurement at a time
De Galen Reeves
![Density estimation via piecewise polynomial approximation in sample near-linear time]()
47:33publiée le 8 avril 2016Density estimation via piecewise polynomial approximation in sample near-linear time
De Ilias Diakonikolas
![When your big data seems too small: accurate inferences beyond the empirical distribution 1/2]()
56:01publiée le 8 avril 2016When your big data seems too small: accurate inferences beyond the empirical distribution 1/2
De Gregory Valiant
![When your big data seems too small: accurate inferences beyond the empirical distribution 2/2]()
56:17publiée le 8 avril 2016When your big data seems too small: accurate inferences beyond the empirical distribution 2/2
De Gregory Valiant
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![Gluing variation]()
