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Optimization

14207 directly classified papers

Papers per year

Papers

Streaming k-means approximation NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Learning with Compressible Priors NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression JMLR 2009
Using the distribution theory to simultaneously calibrate the sensors of a mobile robot RSS 2009
Robustness and Regularization of Support Vector Machines JMLR 2009
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009
Approximating displacement with the body velocity integral RSS 2009
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009
Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009
Online Learning with Sample Path Constraints JMLR 2009
Nieme: Large-Scale Energy-Based Models JMLR 2009
Sparse Online Learning via Truncated Gradient JMLR 2009
Classification with Gaussians and Convex Loss JMLR 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Submanifold density estimation NIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009
Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training JMLR 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Time-extended multi-robot coordination for domains with intra-path constraints RSS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009