Optimization

Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Compressive Spectral Clustering ICML 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016 Convex Regression with Interpretable Sharp Partitions JMLR 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Coordinate-wise Power Method NeurIPS 2016 Coordinating Multiple Disparity Proposals for Stereo Computation CVPR 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Corpus Fusion for Emotion Classification COLING 2016 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 Data-driven Rank Breaking for Efficient Rank Aggregation ICML 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 Deep Submodular Functions: Definitions and Learning NeurIPS 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016 Designing smoothing functions for improved worst-case competitive ratio in online optimization NeurIPS 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Dimensionality Reduction of Massive Sparse Datasets Using Coresets NeurIPS 2016 Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NeurIPS 2016 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016 Doubly Convolutional Neural Networks NeurIPS 2016 Dropping Convexity for Faster Semi-definite Optimization COLT 2016