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Optimization

14207 directly classified papers

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Papers

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
Consistent Minimization of Clustering Objective Functions NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007
Spatially-Adaptive Learning Rates for Online Incremental SLAM RSS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Exploiting Locality in SLAM by Nested Dissection RSS 2006
Stability of $K$-Means Clustering NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Evolutionary Function Approximation for Reinforcement Learning JMLR 2006
The Interplay of Optimization and Machine Learning Research JMLR 2006