Optimization

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems Interspeech 2016 Minimizing Quadratic Functions in Constant Time NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016 Min Norm Point Algorithm for Higher Order MRF-MAP Inference CVPR 2016 MLlib: Machine Learning in Apache Spark JMLR 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 Multiple Kernel Learning with Data Augmentation ACML 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Needle-Match: Reliable Patch Matching Under High Uncertainty CVPR 2016 NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NeurIPS 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NeurIPS 2016 Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle OSDI 2016 Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition Interspeech 2016 Non-negative Matrix Factorization under Heavy Noise ICML 2016 Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting Interspeech 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits ICML 2016