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Optimization

14207 directly classified papers

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Papers

Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods 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
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Nonnegative Sparse PCA NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
No-regret Algorithms for Online Convex Programs NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Convex Repeated Games and Fenchel Duality NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006