Continuous Optimization

Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport AISTATS 2020 Regularized Optimal Transport is Ground Cost Adversarial ICML 2020 Relative Interior Rule in Block-Coordinate Descent CVPR 2020 Representative Solutions for Bi-Objective Optimisation AAAI 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 RM-CVaR: Regularized Multiple β-CVaR Portfolio IJCAI 2020 Robust Document Distance with Wasserstein-Fisher-Rao metric ACML 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Robust Market Equilibria with Uncertain Preferences AAAI 2020 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020 Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NeurIPS 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020 Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data AISTATS 2020 Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework AAAI 2020 Safe screening rules for L0-regression from Perspective Relaxations ICML 2020 Sample complexity bounds for localized sketching AISTATS 2020 Scalable Calibration of Affinity Matrices from Incomplete Observations ACML 2020 Scalable Nearest Neighbor Search for Optimal Transport ICML 2020 Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NeurIPS 2020 Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020 Semantic Correspondence as an Optimal Transport Problem CVPR 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020 Sinkhorn Barycenter via Functional Gradient Descent NeurIPS 2020