14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011

14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011

25 Videos · Apr 11, 2011

About

AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them.

More about the conference at AISTATS 2011.

Videos

Invited Talks

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48:00

Convex Relaxation and Estimation of High-Dimensional Matrices

Martin J. Wainwright

May 6, 2011

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6186 views

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51:55

Sparse modeling: some unifying theory and “topic-imaging”

Bin Yu

May 6, 2011

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4818 views

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51:17

Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...

Adrian Dobra

May 6, 2011

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3767 views

Notable Papers

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28:32

The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...

Hugo Larochelle,

Yoshua Bengio

May 6, 2011

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7349 views

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29:16

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...

Frank Wood,

John Paisley

May 6, 2011

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4284 views

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35:43

Learning equivalence classes of directed acyclic latent variable models from mul...

Robert E. Tillman,

Ricardo Silva

May 6, 2011

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3912 views

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32:44

Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...

Brendan McMahan,

Lev Reyzin

May 6, 2011

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6121 views

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30:25

A conditional game for comparing approximations

Frederik Eaton

May 6, 2011

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4092 views

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27:05

Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...

Laurens van der Maaten,

Neil D. Lawrence

May 6, 2011

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5419 views

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26:26

Learning Scale Free Networks by Reweighted L1 regularization

Qiang Liu

May 6, 2011

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3951 views

Lectures

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16:42

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...

Edward Challis

May 6, 2011

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3817 views

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15:49

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...

Ramesh Nallapati

May 6, 2011

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4096 views

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21:17

Deep Learning for Efficient Discriminative Parsing

Ronan Collobert

May 6, 2011

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17026 views

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20:23

Online Variational Inference for the Hierarchical Dirichlet Process

Chong Wang

May 6, 2011

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5986 views

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19:10

On the Estimation of alpha-Divergences

Barnabás Póczos

May 6, 2011

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3292 views

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11:41

A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...

Hongtao Lu

May 6, 2011

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3854 views

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24:18

Mixed Cumulative Distribution Networks

Ricardo Silva

May 6, 2011

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3417 views

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17:31

Semi-supervised Learning by Higher Order Regularization

Xueyuan Zhou

May 6, 2011

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3731 views

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17:07

Can matrix coherence be efficiently and accurately estimated?

Ameet Talwalkar

May 6, 2011

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3782 views

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23:33

Relational Learning with One Network: An Asymptotic Analysis

Rongjing Xiang

May 6, 2011

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3974 views

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16:49

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...

Ankan Saha

May 6, 2011

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3732 views

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23:42

Lightweight Implementations of Probabilistic Programming Languages Via Transform...

David Wingate

May 6, 2011

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6428 views

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22:07

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...

Stephane Ross

May 6, 2011

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6145 views

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20:57

Dependent Hierarchical Beta Process for Image Interpolation and Denoising

Mingyuan Zhou

May 6, 2011

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5520 views

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18:20

Asymptotic Theory for Linear-Chain Conditional Random Fields

Mathieu Sinn

May 6, 2011

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4277 views