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NIPS
2008
9 years 5 months ago
Bounds on marginal probability distributions
We propose a novel bound on single-variable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex ...
Joris M. Mooij, Hilbert J. Kappen
NIPS
2008
9 years 5 months ago
Transfer Learning by Distribution Matching for Targeted Advertising
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
Steffen Bickel, Christoph Sawade, Tobias Scheffer
NIPS
2008
9 years 5 months ago
Reducing statistical dependencies in natural signals using radial Gaussianization
We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...
Siwei Lyu, Eero P. Simoncelli
NIPS
2008
9 years 5 months ago
Psychiatry: Insights into depression through normative decision-making models
Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, ana...
Quentin J. M. Huys, Joshua T. Vogelstein, Peter Da...
NIPS
2008
9 years 5 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
NIPS
2008
9 years 5 months ago
A rational model of preference learning and choice prediction by children
Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices. However, there exists no overarching account of what childr...
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu,...
NIPS
2008
9 years 5 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
NIPS
2008
9 years 5 months ago
Improving on Expectation Propagation
A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These ...
Manfred Opper, Ulrich Paquet, Ole Winther
NIPS
2008
9 years 5 months ago
The Mondrian Process
We describe a novel class of distributions, called Mondrian processes, which can be interpreted as probability distributions over kd-tree data structures. Mondrian processes are m...
Daniel M. Roy, Yee Whye Teh
NIPS
2008
9 years 5 months ago
Differentiable Sparse Coding
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
J. Andrew Bagnell, David M. Bradley
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