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Optimization

14207 directly classified papers

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Papers

Generative Kernels for Exponential Families AISTATS 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
The Rate of Convergence of Adaboost COLT 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Stochastic Methods for -regularized Loss Minimization JMLR 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NIPS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles NIPS 2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010
A Non-invasive Real-Time Method for Measuring Variable Stiffness RSS 2010
On the Convergence Properties of Contrastive Divergence AISTATS 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010
Optimal Allocation Strategies for the Dark Pool Problem AISTATS 2010
Structured Sparse Principal Component Analysis AISTATS 2010
Quadratic Programming Feature Selection JMLR 2010