Continuous Optimization

Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020 Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020 Greedy Convex Ensemble IJCAI 2020 Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020 Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities COLT 2020 High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020 Highly smooth minimization of non-smooth problems COLT 2020 How many samples is a good initial point worth in Low-rank Matrix Recovery? NeurIPS 2020 How to Trap a Gradient Flow COLT 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020 Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function NeurIPS 2020 Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations L4DC 2020 Implicit Regularization and Convergence for Weight Normalization NeurIPS 2020 Improved Algorithms for Convex-Concave Minimax Optimization NeurIPS 2020 Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios Interspeech 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020 Inexact Tensor Methods with Dynamic Accuracies ICML 2020 In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 Intelligibility-Enhancing Speech Modifications — The Hurricane Challenge 2.0 Interspeech 2020 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NeurIPS 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Joint Graph-Based Depth Refinement and Normal Estimation CVPR 2020 Joint learning of constraint weights and gradient inputs in Gradient Symbolic Computation with constrained optimization ACL 2020