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Optimization

14,983 papers

Papers per year

18
112
342
1289
1646
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Papers

On Learning Rotations NIPS 2009
A Gaussian Tree Approximation for Integer Least-Squares NIPS 2009
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
On the Convergence of the Concave-Convex Procedure NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
Ensemble Nystrom Method NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Slow Learners are Fast NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NIPS 2009
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NIPS 2009
Unsupervised Feature Selection for the $k$-means Clustering Problem NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009
A Smoothed Approximate Linear Program NIPS 2009
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009