Optimization

Multi-Objective Optimization Through Pareto Minimal Correction Subsets IJCAI 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search IJCAI 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals NeurIPS 2018 N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning ICLR 2018 Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NeurIPS 2018 Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018 Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection RSS 2018 NEON2: Finding Local Minima via First-Order Oracles NeurIPS 2018 NetComplete: Practical Network-Wide Configuration Synthesis with Autocompletion NSDI 2018 Network Approximation using Tensor Sketching IJCAI 2018 Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks ICLR 2018 Neural 3D Mesh Renderer CVPR 2018 Neural Architecture Optimization NeurIPS 2018 Neural Ordinary Differential Equations NeurIPS 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NeurIPS 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 Noisin: Unbiased Regularization for Recurrent Neural Networks ICML 2018 Noisy Natural Gradient as Variational Inference ICML 2018 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 Non-convex Conditional Gradient Sliding ICML 2018 Non-Convex Matrix Completion Against a Semi-Random Adversary COLT 2018