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 6288 views
Sparse modeling: some unifying theory and “topic-imaging”
May 6, 2011 4840 views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 6, 2011 3793 views
Notable Papers
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 6, 2011 7379 views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 6, 2011 4308 views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 6, 2011 3935 views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 6, 2011 6146 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 5441 views
Learning Scale Free Networks by Reweighted L1 regularization
May 6, 2011 3985 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 4132 views
Deep Learning for Efficient Discriminative Parsing
May 6, 2011 17114 views
Online Variational Inference for the Hierarchical Dirichlet Process
May 6, 2011 6036 views
On the Estimation of alpha-Divergences
May 6, 2011 3314 views
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 6, 2011 3875 views
Mixed Cumulative Distribution Networks
May 6, 2011 3438 views
Semi-supervised Learning by Higher Order Regularization
May 6, 2011 3752 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 3990 views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 6, 2011 3753 views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 6, 2011 6455 views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 6, 2011 6218 views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 6, 2011 5557 views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 6, 2011 4298 views