Continuous Optimization

Memory Efficient Kernel Approximation JMLR 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 Min-Max Propagation NeurIPS 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Multi-Component Nonnegative Matrix Factorization IJCAI 2017 Multilevel Clustering via Wasserstein Means ICML 2017 Multi-Observation Elicitation COLT 2017 Multi-output Polynomial Networks and Factorization Machines NeurIPS 2017 Multiscale Strategies for Computing Optimal Transport JMLR 2017 Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NeurIPS 2017 Nearly Optimal Robust Matrix Completion ICML 2017 Near-Optimal Design of Experiments via Regret Minimization ICML 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NeurIPS 2017 Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017 Noise Robust Depth From Focus Using a Ring Difference Filter CVPR 2017 Non-Contact Full Field Vibration Measurement Based on Phase-Shifting CVPR 2017 Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 One-Sided Unsupervised Domain Mapping NeurIPS 2017 On Frank-Wolfe and Equilibrium Computation NeurIPS 2017 Online Summarization via Submodular and Convex Optimization CVPR 2017 Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NeurIPS 2017 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NeurIPS 2017 On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution CVPR 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017