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 6277 views
Sparse modeling: some unifying theory and “topic-imaging”
May 6, 2011 4834 views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 6, 2011 3787 views
Notable Papers
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 6, 2011 7369 views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 6, 2011 4304 views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 6, 2011 3930 views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 6, 2011 6140 views
A conditional game for comparing approximations
May 6, 2011 4111 views
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 6, 2011 5430 views
Learning Scale Free Networks by Reweighted L1 regularization
May 6, 2011 3979 views
Lectures
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 6, 2011 3835 views
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...
May 6, 2011 4127 views
Deep Learning for Efficient Discriminative Parsing
May 6, 2011 17100 views
Online Variational Inference for the Hierarchical Dirichlet Process
May 6, 2011 6020 views
On the Estimation of alpha-Divergences
May 6, 2011 3308 views
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 6, 2011 3872 views
Mixed Cumulative Distribution Networks
May 6, 2011 3436 views
Semi-supervised Learning by Higher Order Regularization
May 6, 2011 3744 views
Can matrix coherence be efficiently and accurately estimated?
May 6, 2011 3802 views
Relational Learning with One Network: An Asymptotic Analysis
May 6, 2011 3984 views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 6, 2011 3746 views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 6, 2011 6451 views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 6, 2011 6204 views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 6, 2011 5549 views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 6, 2011 4294 views
