conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

Understanding the Role of Momentum in Stochastic Gradient Methods NeurIPS 2019 Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo Theories IJCAI 2019 Unifying the Stochastic and the Adversarial Bandits with Knapsack IJCAI 2019 Universality in Learning from Linear Measurements NeurIPS 2019 Universality of Computational Lower Bounds for Submatrix Detection COLT 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NeurIPS 2019 Unsupervised Feature Selection by Pareto Optimization AAAI 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 Using Benson’s Algorithm for Regularization Parameter Tracking AAAI 2019 Using Unknown Occluders to Recover Hidden Scenes CVPR 2019 Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NeurIPS 2019 Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction ACL 2019 Variance Reduction for Matrix Games NeurIPS 2019 Variational Inference of Penalized Regression with Submodular Functions UAI 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Uncalibrated Photometric Stereo Under General Lighting ICCV 2019 Very Hard Electoral Control Problems AAAI 2019 VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points CVPR 2019 Walrasian Dynamics in Multi-Unit Markets AAAI 2019 Wasserstein regularization for sparse multi-task regression AISTATS 2019 Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019 Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory AAAI 2019 Weighted Linear Bandits for Non-Stationary Environments NeurIPS 2019