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Optimization

1184 directly classified papers

Papers per year

Papers

Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Convex Learning with Invariances NIPS 2007
Topmoumoute Online Natural Gradient Algorithm NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Linear programming analysis of loopy belief propagation for weighted matching NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007
Max-margin classification of incomplete data NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
Efficient sparse coding algorithms NIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006