13th International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia 2010
28 Videos · 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/
Videos
Welcome Address
Welcome
Jun 3, 2010
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4418 views
Invited Talks
Forensic Statistics: Where are We and Where are We Going?
Jun 3, 2010
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5102 views
Approximate Bayesian Computation: What, Why and How?
Jun 17, 2010
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7749 views
Nonparametric Learning of Functions and Graphs in High Dimensions
Sep 4, 2019
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37 views
Network Models
Detecting weak but hierarchically-structured patterns in networks
Jun 3, 2010
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4217 views
Boosted optimization for network classification
Jun 3, 2010
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3605 views
Statistical Learning Theory
Function class complexity and cluster structure with applications to transductio...
Jun 3, 2010
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3372 views
Multiclass-multilabel classification with more labels than examples
Jun 3, 2010
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4773 views
Empirical Bernstein boosting
Jun 3, 2010
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4069 views
Bayesian Nonparametrics and Causal Inference
Sufficient covariates and linear propensity analysis
Jun 3, 2010
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3516 views
Dirichlet process mixtures of generalised linear models
May 20, 2010
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4531 views
Bayesian Gaussian process latent variable model
Jun 3, 2010
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8431 views
Deep Learning
Factored 3-way restricted Boltzmann machines for modeling natural images
Jun 3, 2010
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6060 views
Learning the structure of deep sparse graphical models
Jun 3, 2010
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7584 views
Approximate Inference
Dense message passing for sparse principal component analysis
Jun 3, 2010
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4645 views
Solving the uncapacitated facility location problem using message passing algori...
Jun 3, 2010
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6442 views
Focused belief propagation for query-specific inference
Jun 3, 2010
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3392 views
Online Learning, Control and Information Theory
REGO: Rank-based estimation of Renyi information using Euclidean graph optimizat...
Jun 14, 2010
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3344 views
Coherent inference on optimal play in game trees
Jun 3, 2010
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3396 views
Exploiting feature covariance in high-dimensional online learning
Jun 3, 2010
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3950 views
Kernel Methods
Nonlinear functional regression: A functional RKHS approach
Jun 3, 2010
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4027 views
On the relation between universality, characteristic kernels and RKHS embedding ...
Jun 3, 2010
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3571 views
Graphical Models and Causal Inference
Convex structure learning in log-linear models beyond pairwise potentials
Jun 3, 2010
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5950 views
On combining graph-based variance reduction schemes
Jun 7, 2010
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3312 views
Modeling annotator expertise: Learning when everybody knows a bit of something
Jun 3, 2010
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5601 views
Low-rank Methods and Information Retrieval
Half transductive ranking
Jun 3, 2010
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3393 views
Reduced-rank hidden Markov models
Aug 29, 2011
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5474 views
Fluid dynamics models for low rank discriminant analysis
Jun 3, 2010
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4192 views