13th International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia 2010
27 Lectures · May 13, 2010
About
This is the thirteenth conference conference on Artificial Intelligence and Statistics and the first to be held in Europe. Formerly AISTATS was held every two years. In the future the plan is to hold the meeting each year alternating between North America and Europe. AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, statistics, and related areas. Since its inception in 1985, the primary goal of this conference has been to broaden research in both of these fields by promoting the exchange of ideas between them. We encourage the submission of all papers which are in keeping with this objective.
More about the event at http://www.aistats.org/
Related categories
Uploaded videos:
Welcome Address
Welcome
Jun 03, 2010
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4415 Views
Invited Talks
Forensic Statistics: Where are We and Where are We Going?
Jun 03, 2010
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5099 Views
Approximate Bayesian Computation: What, Why and How?
Jun 17, 2010
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7741 Views
Network Models
Boosted optimization for network classification
Jun 03, 2010
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3602 Views
Detecting weak but hierarchically-structured patterns in networks
Jun 03, 2010
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4212 Views
Statistical Learning Theory
Function class complexity and cluster structure with applications to transductio...
Jun 03, 2010
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3364 Views
Multiclass-multilabel classification with more labels than examples
Jun 03, 2010
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4769 Views
Empirical Bernstein boosting
Jun 03, 2010
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4061 Views
Bayesian Nonparametrics and Causal Inference
Sufficient covariates and linear propensity analysis
Jun 03, 2010
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3509 Views
Dirichlet process mixtures of generalised linear models
May 20, 2010
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4524 Views
Bayesian Gaussian process latent variable model
Jun 03, 2010
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8425 Views
Deep Learning
Factored 3-way restricted Boltzmann machines for modeling natural images
Jun 03, 2010
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6055 Views
Learning the structure of deep sparse graphical models
Jun 03, 2010
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7575 Views
Approximate Inference
Solving the uncapacitated facility location problem using message passing algori...
Jun 03, 2010
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6435 Views
Dense message passing for sparse principal component analysis
Jun 03, 2010
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4639 Views
Focused belief propagation for query-specific inference
Jun 03, 2010
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3388 Views
Online Learning, Control and Information Theory
Exploiting feature covariance in high-dimensional online learning
Jun 03, 2010
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3944 Views
REGO: Rank-based estimation of Renyi information using Euclidean graph optimizat...
Jun 14, 2010
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3340 Views
Coherent inference on optimal play in game trees
Jun 03, 2010
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3391 Views
Kernel Methods
Nonlinear functional regression: A functional RKHS approach
Jun 03, 2010
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4020 Views
On the relation between universality, characteristic kernels and RKHS embedding ...
Jun 03, 2010
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3557 Views
Graphical Models and Causal Inference
On combining graph-based variance reduction schemes
Jun 07, 2010
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3303 Views
Convex structure learning in log-linear models beyond pairwise potentials
Jun 03, 2010
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5943 Views
Modeling annotator expertise: Learning when everybody knows a bit of something
Jun 03, 2010
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5592 Views
Low-rank Methods and Information Retrieval
Fluid dynamics models for low rank discriminant analysis
Jun 03, 2010
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4185 Views
Reduced-rank hidden Markov models
Aug 29, 2011
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5467 Views
Half transductive ranking
Jun 03, 2010
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3389 Views