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Optimization

1203 directly classified papers

Papers per year

Papers

Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Random Conic Pursuit for Semidefinite Programming NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
A Smoothed Approximate Linear Program NIPS 2009
Adaptive Design Optimization in Experiments with People NIPS 2009
Information-theoretic lower bounds on the oracle complexity of convex optimization NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Efficient Bregman Range Search NIPS 2009
On the Convergence of the Concave-Convex Procedure NIPS 2009
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Progressive mixture rules are deviation suboptimal NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007
A recipe for optimizing a time-histogram NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Online Clustering of Moving Hyperplanes NIPS 2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006