Continuous Optimization

Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming JMLR 2019 Singleshot : a scalable Tucker tensor decomposition NeurIPS 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NeurIPS 2019 Sliced Gromov-Wasserstein NeurIPS 2019 Smoothing Structured Decomposable Circuits NeurIPS 2019 Sobolev Descent AISTATS 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Solving graph compression via optimal transport NeurIPS 2019 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019 Solving Vision Problems via Filtering ICCV 2019 Sparse Reject Option Classifier Using Successive Linear Programming AAAI 2019 Spectral Approximate Inference ICML 2019 Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager CVPR 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NeurIPS 2019 Stochastic algorithms with descent guarantees for ICA AISTATS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ICML 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Style Transfer by Relaxed Optimal Transport and Self-Similarity CVPR 2019 Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019 Sublinear Time Numerical Linear Algebra for Structured Matrices AAAI 2019