Optimization

Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Maximum Volume Clustering AISTATS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Minimax Algorithm for Learning Rotations COLT 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011 Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation RSS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NeurIPS 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 -Norm Multiple Kernel Learning JMLR 2011 On fast approximate submodular minimization NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 On the Universality of Online Mirror Descent NeurIPS 2011 Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011 Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011 Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness NeurIPS 2011 Oracle inequalities for computationally budgeted model selection COLT 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011