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.
Related categories
Uploaded videos:
Invited Talks
Sparse modeling: some unifying theory and “topic-imaging”
May 06, 2011
·
4814 Views
Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Dat...
May 06, 2011
·
3761 Views
Convex Relaxation and Estimation of High-Dimensional Matrices
May 06, 2011
·
6178 Views
Notable Papers
Learning Scale Free Networks by Reweighted L1 regularization
May 06, 2011
·
3944 Views
A conditional game for comparing approximations
May 06, 2011
·
4086 Views
Learning equivalence classes of directed acyclic latent variable models from mul...
May 06, 2011
·
3911 Views
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling...
May 06, 2011
·
4282 Views
Contextual Bandit Algorithms with Supervised Learning Guarantees, incl. discussi...
May 06, 2011
·
6113 Views
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laure...
May 06, 2011
·
5415 Views
The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...
May 06, 2011
·
7347 Views
Lectures
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating...
May 06, 2011
·
3849 Views
On the Estimation of alpha-Divergences
May 06, 2011
·
3290 Views
Mixed Cumulative Distribution Networks
May 06, 2011
·
3415 Views
Asymptotic Theory for Linear-Chain Conditional Random Fields
May 06, 2011
·
4273 Views
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesia...
May 06, 2011
·
3815 Views
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlink...
May 06, 2011
·
4093 Views
Relational Learning with One Network: An Asymptotic Analysis
May 06, 2011
·
3972 Views
Online Variational Inference for the Hierarchical Dirichlet Process
May 06, 2011
·
5974 Views
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
May 06, 2011
·
5515 Views
Lightweight Implementations of Probabilistic Programming Languages Via Transform...
May 06, 2011
·
6422 Views
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Fee...
May 06, 2011
·
3729 Views
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online ...
May 06, 2011
·
6137 Views
Semi-supervised Learning by Higher Order Regularization
May 06, 2011
·
3729 Views
Can matrix coherence be efficiently and accurately estimated?
May 06, 2011
·
3779 Views
Deep Learning for Efficient Discriminative Parsing
May 06, 2011
·
17016 Views