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Optimization

14,969 papers

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Papers

A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Lower Bounds on Rate of Convergence of Cutting Plane Methods NIPS 2010
Multi-Stage Dantzig Selector NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Learning via Gaussian Herding NIPS 2010
Active Instance Sampling via Matrix Partition NIPS 2010
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NIPS 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
Robust PCA via Outlier Pursuit NIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NIPS 2010
Learning Polyhedral Classifiers Using Logistic Function ACML 2010
Ellipsoidal Support Vector Machines ACML 2010
Optimal Allocation Strategies for the Dark Pool Problem AISTATS 2010
On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010
Boosted Optimization for Network Classification AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Structured Sparse Principal Component Analysis AISTATS 2010
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010