Apr 11, 2011 
25 videos 
14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011
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.
Invited Talks
Convex Relaxation and Estimation of High-Dimensional Matrices
May 6, 2011 6280 views
Sparse modeling: some unifying theory and “topic-imaging”
May 6, 2011 4838 views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 6, 2011 3792 views
Notable Papers
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 6, 2011 7376 views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 6, 2011 4306 views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 6, 2011 3934 views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 6, 2011 6145 views
A conditional game for comparing approximations
May 6, 2011 4118 views
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 6, 2011 5439 views
Learning Scale Free Networks by Reweighted L1 regularization
May 6, 2011 3983 views
Lectures
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 6, 2011 3838 views
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...
May 6, 2011 4131 views
Deep Learning for Efficient Discriminative Parsing
May 6, 2011 17112 views
Online Variational Inference for the Hierarchical Dirichlet Process
May 6, 2011 6029 views
On the Estimation of alpha-Divergences
May 6, 2011 3313 views
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 6, 2011 3874 views
Mixed Cumulative Distribution Networks
May 6, 2011 3438 views
Semi-supervised Learning by Higher Order Regularization
May 6, 2011 3748 views
Can matrix coherence be efficiently and accurately estimated?
May 6, 2011 3807 views
Relational Learning with One Network: An Asymptotic Analysis
May 6, 2011 3988 views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 6, 2011 3751 views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 6, 2011 6454 views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 6, 2011 6216 views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 6, 2011 5554 views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 6, 2011 4297 views