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 6278 views
Sparse modeling: some unifying theory and “topic-imaging”
May 6, 2011 4835 views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 6, 2011 3789 views
Notable Papers
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 6, 2011 7374 views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 6, 2011 4305 views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 6, 2011 3931 views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 6, 2011 6143 views
A conditional game for comparing approximations
May 6, 2011 4115 views
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 6, 2011 5433 views
Learning Scale Free Networks by Reweighted L1 regularization
May 6, 2011 3980 views
Lectures
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 6, 2011 3836 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 17104 views
Online Variational Inference for the Hierarchical Dirichlet Process
May 6, 2011 6022 views
On the Estimation of alpha-Divergences
May 6, 2011 3310 views
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 6, 2011 3873 views
Mixed Cumulative Distribution Networks
May 6, 2011 3437 views
Semi-supervised Learning by Higher Order Regularization
May 6, 2011 3745 views
Can matrix coherence be efficiently and accurately estimated?
May 6, 2011 3805 views
Relational Learning with One Network: An Asymptotic Analysis
May 6, 2011 3985 views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 6, 2011 3747 views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 6, 2011 6452 views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 6, 2011 6210 views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 6, 2011 5551 views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 6, 2011 4295 views
