About
When dealing with distributions it is in general infeasible to estimate them explicitly in high dimensional settings, since the associated learning rates can be arbitrarily slow. On the other hand, a great variety of applications in machine learning and computer science require distribution estimation and/or comparison. Examples include testing for homogeneity (the "two-sample problem"), independence, and conditional independence, where the last two can be used to infer causality; data set squashing / data sketching / data anonymisation; domain adaptation (the transfer of knowledge learned on one domain to solving problems on another, related domain) and the related problem of covariate shift; message passing in graphical models (EP and related algorithms); compressed sensing; and links between divergence measures and loss functions.
The purpose of this workshop is to bring together statisticians, machine learning researchers, and computer scientists working on representations of distributions for various inference and testing problems, to discuss the compromises necessary in obtaining useful results from finite data. In particular, what are the capabilities and weaknesses of different distribution estimates and comparison strategies, and what negative results apply?
Related categories
Uploaded videos:
Introduction to the Workshop
Feb 25, 2008
·
2793 Views
Testing Distributions for Goodness of fit, Homogeneity, and Independence
Feb 25, 2008
·
4146 Views
On a L1-Test Statistic of Homogeneity
Feb 25, 2008
·
3912 Views
Adaptive Representations for Efficient Inference for Distributions on Permutatio...
Feb 25, 2008
·
3575 Views
A Framework for Probability Density Estimation
Feb 25, 2008
·
4433 Views
Kullback-Leibler Divergence Estimation of Continuous Distributions
Feb 25, 2008
·
9847 Views
Testing with Kernel-based Test Statistics Power Against Sequences of Local Alter...
Feb 25, 2008
·
3466 Views
Subjective Measure for Distribution Similarity
Feb 25, 2008
·
3982 Views
Sketching and Streaming for Distributions
Feb 25, 2008
·
3067 Views