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Optimization

14,983 papers

Papers per year

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342
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Papers

Shark JMLR 2008
Consistency of Trace Norm Minimization JMLR 2008
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008
Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
SimpleMKL JMLR 2008
Proofs and Experiments in Scalable, Near-Optimal Search by Multiple Robots RSS 2008
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
Compressed Regression NIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
The Tradeoffs of Large Scale Learning NIPS 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
Convex Learning with Invariances NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Bundle Methods for Machine Learning NIPS 2007