Mathematics & Optimization

Learning Optimized Risk Scores JMLR 2019 Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization AAAI 2019 Learning Positive Functions with Pseudo Mirror Descent NeurIPS 2019 Learning rates for Gaussian mixtures under group action COLT 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Learning Set Functions with Limited Complementarity AAAI 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Learning to Bootstrap for Entity Set Expansion EMNLP 2019 Learning to Clear the Market ICML 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Learning to Match via Inverse Optimal Transport JMLR 2019 Learning to Optimize in Swarms NeurIPS 2019 Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019 Learning to Prune: Speeding up Repeated Computations COLT 2019 Learning to Screen NeurIPS 2019 Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP AAAI 2019 Learning Transformation Synchronization CVPR 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Learning Weighted Top-k Support Vector Machine ACML 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples IJCAI 2019 Least Squares Estimation of Weakly Convex Functions AISTATS 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019 Lexical concreteness in narrative ACL 2019