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

Convex Relaxation and Estimation of High-Dimensional Matrices
May 6, 2011
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6233 views

Sparse modeling: some unifying theory and “topic-imaging”
May 6, 2011
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4820 views

Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 6, 2011
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3773 views
Notable Papers

The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 6, 2011
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7354 views

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 6, 2011
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4287 views

Learning equivalence classes of directed acyclic latent variable models from mul...
May 6, 2011
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3917 views

Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 6, 2011
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6123 views

A conditional game for comparing approximations
May 6, 2011
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4093 views

Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 6, 2011
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5422 views

Learning Scale Free Networks by Reweighted L1 regularization
May 6, 2011
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3952 views
Lectures

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 6, 2011
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3820 views

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...
May 6, 2011
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4105 views

Deep Learning for Efficient Discriminative Parsing
May 6, 2011
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17043 views

Online Variational Inference for the Hierarchical Dirichlet Process
May 6, 2011
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5990 views

On the Estimation of alpha-Divergences
May 6, 2011
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3292 views

A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 6, 2011
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3857 views

Mixed Cumulative Distribution Networks
May 6, 2011
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3419 views

Semi-supervised Learning by Higher Order Regularization
May 6, 2011
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3736 views

Can matrix coherence be efficiently and accurately estimated?
May 6, 2011
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3787 views

Relational Learning with One Network: An Asymptotic Analysis
May 6, 2011
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3977 views

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 6, 2011
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3734 views

Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 6, 2011
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6439 views

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 6, 2011
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6159 views

Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 6, 2011
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5530 views

Asymptotic Theory for Linear-Chain Conditional Random Fields
May 6, 2011
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4281 views