Mathematics & Optimization

Multi-view Matrix Factorization for Linear Dynamical System Estimation NeurIPS 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification CVPR 2017 Multiwinner Rules on Paths From k-Borda to Chamberlin–Courant IJCAI 2017 Nash Equilibria in Concurrent Games with Lexicographic Preferences IJCAI 2017 Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017 Near-Feasible Stable Matchings with Budget Constraints IJCAI 2017 Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NeurIPS 2017 Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection AISTATS 2017 Nearly Optimal Robust Matrix Completion ICML 2017 Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Near-Optimal Design of Experiments via Regret Minimization ICML 2017 Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NeurIPS 2017 Networked Fairness in Cake Cutting IJCAI 2017 Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem EMNLP 2017 New bounds on the price of bandit feedback for mistake-bounded online multiclass learning ALT 2017 New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract) IJCAI 2017 New Metrics and Algorithms for Stochastic Goal Recognition Design Problems IJCAI 2017 Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017 NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance CVPR 2017 Noise-Blind Image Deblurring CVPR 2017 Noise Robust Depth From Focus Using a Ring Difference Filter CVPR 2017 Noisy Population Recovery from Unknown Noise COLT 2017