Optimization

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Linear Optimization via Smoothing COLT 2014 Online matrix prediction for sparse loss matrices ACML 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion AISTATS 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 On Robustness and Regularization of Structural Support Vector Machines ICML 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation JMLR 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014 Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm ICML 2014 Optimal decision-making with time-varying evidence reliability NeurIPS 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Optimizing Average Precision using Weakly Supervised Data CVPR 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014