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» Universal Switching Linear Least Squares Prediction
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TSP
2008
114views more  TSP 2008»
13 years 5 months ago
Universal Switching Linear Least Squares Prediction
We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
Suleyman Serdar Kozat, Andrew C. Singer
TIT
2002
89views more  TIT 2002»
13 years 5 months ago
Universal linear least squares prediction: Upper and lower bounds
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
Andrew C. Singer, Suleyman Serdar Kozat, Meir Fede...
ICML
1999
IEEE
14 years 6 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
TSP
2008
119views more  TSP 2008»
13 years 5 months ago
Universal Weighted MSE Improvement of the Least-Squares Estimator
Since the seminal work of Stein in the 1950s, there has been continuing research devoted to improving the total meansquared error (MSE) of the least-squares (LS) estimator in the l...
Yonina C. Eldar
JMLR
2010
145views more  JMLR 2010»
13 years 7 days ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer