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Optimization

14207 directly classified papers

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Papers

New Outer Bounds on the Marginal Polytope NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Convex Learning with Invariances NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
Compressed Regression NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007
Hierarchical Penalization NIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
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