Mathematics & Optimization

Differentiable Convex Optimization Layers NeurIPS 2019 Differentiable Game Mechanics JMLR 2019 Differentiable Linearized ADMM ICML 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Differentiable reservoir computing JMLR 2019 Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Differentially Private Covariance Estimation NeurIPS 2019 Differentially Private Learning of Geometric Concepts ICML 2019 Differentially Private Online Submodular Minimization AISTATS 2019 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Diffusion and Auction on Graphs IJCAI 2019 Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019 Dimensionality Reduction for Tukey Regression ICML 2019 Dimensionality reduction: theoretical perspective on practical measures NeurIPS 2019 Dimension-Free Error Bounds from Random Projections AAAI 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Direct Estimation of Differential Functional Graphical Models NeurIPS 2019 Direction-Optimizing Breadth-First Search with External Memory Storage IJCAI 2019 Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm COLT 2019 Discovering Dialog Rules by Means of an Evolutionary Approach Interspeech 2019 Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms IJCAI 2019 Discrepancy, Coresets, and Sketches in Machine Learning COLT 2019 Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction ICCV 2019