14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011
25 Lectures · 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.
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Uploaded videos:
Invited Talks
Sparse modeling: some unifying theory and “topic-imaging”
May 06, 2011
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4810 Views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 06, 2011
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3760 Views
Convex Relaxation and Estimation of High-Dimensional Matrices
May 06, 2011
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6171 Views
Notable Papers
Learning Scale Free Networks by Reweighted L1 regularization
May 06, 2011
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3943 Views
A conditional game for comparing approximations
May 06, 2011
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4084 Views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 06, 2011
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3910 Views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 06, 2011
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4279 Views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 06, 2011
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6111 Views
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 06, 2011
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5413 Views
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 06, 2011
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7345 Views
Lectures
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 06, 2011
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3846 Views
On the Estimation of alpha-Divergences
May 06, 2011
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3289 Views
Mixed Cumulative Distribution Networks
May 06, 2011
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3412 Views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 06, 2011
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4271 Views
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 06, 2011
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3814 Views
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...
May 06, 2011
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4091 Views
Relational Learning with One Network: An Asymptotic Analysis
May 06, 2011
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3969 Views
Online Variational Inference for the Hierarchical Dirichlet Process
May 06, 2011
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5971 Views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 06, 2011
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5492 Views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 06, 2011
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6421 Views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 06, 2011
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3727 Views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 06, 2011
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6129 Views
Semi-supervised Learning by Higher Order Regularization
May 06, 2011
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3727 Views
Can matrix coherence be efficiently and accurately estimated?
May 06, 2011
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3773 Views
Deep Learning for Efficient Discriminative Parsing
May 06, 2011
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17010 Views