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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)

Papers per year

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16
133
440
1,353
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2000
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Papers (including subtopics)

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021 A Robust Loss for Point Cloud Registration ICCV 2021 A Root of a Problem: Optimizing Single-Root Dependency Parsing EMNLP 2021 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021 A Scalable Deterministic Global Optimization Algorithm for Clustering Problems ICML 2021 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples ICML 2021 A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving AAAI 2021 A Spectral Analysis of Dot-product Kernels AISTATS 2021 A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 A Study of Condition Numbers for First-Order Optimization AISTATS 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NeurIPS 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time ALT 2021 Asynchronous Decentralized Online Learning NeurIPS 2021 Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction ICML 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021 Asynchronous Stochastic Optimization Robust to Arbitrary Delays NeurIPS 2021 As You Like It: Localization via Paired Comparisons JMLR 2021 A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021 Attention Flows are Shapley Value Explanations ACL 2021 A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems JMLR 2021 A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021 A Unified Approach to Fair Online Learning via Blackwell Approachability NeurIPS 2021