Continuous Optimization

SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding ICML 2020 Sparseness-Aware DOA Estimation with Majorization Minimization Interspeech 2020 Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020 Sparsified Linear Programming for Zero-Sum Equilibrium Finding ICML 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence ICML 2020 Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities IJCAI 2020 SP-PIFO: Approximating Push-In First-Out Behaviors using Strict-Priority Queues NSDI 2020 Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization ICML 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020 Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020 Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization ICML 2020 Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization ICML 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020 Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020 Stochastic Subspace Cubic Newton Method ICML 2020 Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 Submodular Maximization Through Barrier Functions NeurIPS 2020 Sufficient dimension reduction for classification using principal optimal transport direction NeurIPS 2020 Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification NeurIPS 2020