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JMLR
2010
112views more  JMLR 2010»
14 years 4 months ago
Sparse Spectrum Gaussian Process Regression
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
Miguel Lázaro-Gredilla, Joaquin Quiñ...
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JMLR
2010
173views more  JMLR 2010»
14 years 4 months ago
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution ...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
JMLR
2010
93views more  JMLR 2010»
14 years 4 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
SIAMJO
2010
128views more  SIAMJO 2010»
14 years 4 months ago
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...
Chengjing Wang, Defeng Sun, Kim-Chuan Toh
TOG
2010
129views more  TOG 2010»
14 years 4 months ago
Optical computing for fast light transport analysis
We present a general framework for analyzing the transport matrix of a real-world scene at full resolution, without capturing many photos. The key idea is to use projectors and ca...
Matthew O'Toole, Kiriakos N. Kutulakos