Optimization

Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 Structured Optimal Transport AISTATS 2018 Sublinear Time Low-Rank Approximation of Distance Matrices NeurIPS 2018 Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018 Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimization ACL 2018 Surprisingly Easy Hard-Attention for Sequence to Sequence Learning EMNLP 2018 Teacher Improves Learning by Selecting a Training Subset AISTATS 2018 Temporal Regularization for Markov Decision Process NeurIPS 2018 Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts EMNLP 2018 The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation ACL 2018 The Cluster Description Problem - Complexity Results, Formulations and Approximations NeurIPS 2018 The Geometry of Random Features AISTATS 2018 The Implicit Bias of Gradient Descent on Separable Data ICLR 2018 The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization NeurIPS 2018 The Lingering of Gradients: How to Reuse Gradients Over Time NeurIPS 2018 The Mechanics of n-Player Differentiable Games ICML 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018 The Search Problem in Mixture Models JMLR 2018 The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NeurIPS 2018 The streaming rollout of deep networks - towards fully model-parallel execution NeurIPS 2018 The Well-Tempered Lasso ICML 2018 Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima NeurIPS 2018 Three-Head Neural Network Architecture for Monte Carlo Tree Search IJCAI 2018