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Optimization

14,969 papers

Papers per year

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Papers

Online Optimization in X-Armed Bandits NIPS 2008
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
On the Generalization Ability of Online Strongly Convex Programming Algorithms NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008
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