24th Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki 2008

24th Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki 2008

25 Lectures · Jul 10, 2008

About

UAI is the premier conference on issues relating to representation and management of uncertainty within the field of Artificial Intelligence. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

To find out more please visit the UAI 2008 website.

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Uploaded videos:

Topic Models and Clustering

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24:20

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regres...

Andrew McCallum

Jul 30, 2008

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6008 Views

Lecture
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22:18

Latent Topic Models for Hypertext

Amit Gruber

Jul 30, 2008

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4580 Views

Lecture
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23:24

Flexible Priors for Exemplar-based Clustering

Daniel Tarlow

Jul 30, 2008

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4349 Views

Lecture

Invited talk

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56:52

The Catch-Up Phenomenon in Bayesian Inference

Peter Grünwald

Jul 30, 2008

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7084 Views

Invited Talk

Inference I

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22:28

Convergent Message-Passing Algorithms for Inference over General Graphs with Con...

Tamir Hazan

Jul 30, 2008

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4815 Views

Lecture
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23:37

Tightening LP Relaxations for MAP using Message Passing

David Sontag

Jul 30, 2008

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4186 Views

Lecture
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21:51

Learning Convex Inference of Marginals

Justin Domke

Jul 30, 2008

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3294 Views

Lecture

Invited talk

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01:00:10

Combinatorial Prediction Markets

Robin Hanson

Jul 30, 2008

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14093 Views

Invited Talk

Games and Decisions

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22:18

Learning and Solving Many-Player Games through a Cluster-Based Representation

Sevan G. Ficici

Jul 30, 2008

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4286 Views

Lecture
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23:10

A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games

Enrique Munoz de Cote

Jul 30, 2008

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5217 Views

Lecture
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25:18

Strategy Selection in Influence Diagrams using Imprecise Probabilities

Cassio P. de Campos

Jul 30, 2008

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4306 Views

Lecture

Multi-View and Transfer Learning

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24:01

Multi-View Learning over Structured and Non-Identical Outputs

Kuzman Ganchev

Jul 30, 2008

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3458 Views

Lecture
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20:35

Multi-View Learning in the Presence of View Disagreement

C. Mario Christoudias

Jul 30, 2008

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4737 Views

Lecture
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25:17

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies

Ben Packer

Jul 30, 2008

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3129 Views

Lecture

Invited talk

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53:23

Concentration Inequalities

Gabor Lugosi

Jul 30, 2008

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6596 Views

Invited Talk

Reinforcement Learning

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25:31

CORL: A Continuous-state Offset-dynamics Reinforcement Learner

Emma Brunskill

Jul 30, 2008

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3296 Views

Lecture
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21:59

Partitioned Linear Programming Approximations for MDPs

Branislav Kveton

Jul 30, 2008

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3096 Views

Lecture
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27:24

Hierarchical POMDP Controller Optimization by Likelihood Maximization

Marc Toussaint

Jul 30, 2008

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6962 Views

Lecture

Invited talk

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01:00:19

Unsupervised Learning for Natural Language Processing

Dan Klein

Jul 30, 2008

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15475 Views

Invited Talk

Causality

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23:55

Explanation Trees for Causal Bayesian Networks

Jean-Philippe Pellet

Jul 30, 2008

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5821 Views

Lecture
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20:52

Identifying Optimal Sequential Decisions

Vanessa Didelez

Jul 30, 2008

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2885 Views

Lecture
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23:55

Identifying Dynamic Sequential Plans

George Voutsadakis

Jul 30, 2008

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3053 Views

Lecture

Network Learning

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24:17

Learning the Bayesian Network Structure: Dirichlet Prior versus Data

Harald Steck

Jul 30, 2008

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8362 Views

Lecture
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20:20

Discovering Cyclic Causal Models by Independent Components Analysis

Gustavo Lacerda

Jul 30, 2008

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7913 Views

Lecture
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20:07

Constrained Approximate Maximum Entropy Learning of Markov Random Fields

Varun Ganapathi

Jul 30, 2008

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6816 Views

Lecture