Continuous Optimization

Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function ICCV 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks NeurIPS 2019 Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019 Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decentralized sketching of low rank matrices NeurIPS 2019 Deep Bayesian Optimization on Attributed Graphs AAAI 2019 Deep Tensor ADMM-Net for Snapshot Compressive Imaging ICCV 2019 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 Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019 Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction ICCV 2019 Discriminator optimal transport NeurIPS 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019 Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019