Skip to content
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)

Papers per year

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019 Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence IJCAI 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theory of Regularized Markov Decision Processes ICML 2019 A Theory of Selective Prediction COLT 2019 A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ICML 2019 Attention, Learn to Solve Routing Problems! ICLR 2019 Attribute-efficient learning of monomials over highly-correlated variables ALT 2019 A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem AAAI 2019 A Unified Approach to Online Matching with Conflict-Aware Constraints AAAI 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening NeurIPS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Autoencoding any Data through Kernel Autoencoders AISTATS 2019 Automatic Construction of Parallel Portfolios via Explicit Instance Grouping AAAI 2019 A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019 Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss NeurIPS 2019 A Well-Tempered Landscape for Non-convex Robust Subspace Recovery JMLR 2019 BAD SLAM: Bundle Adjusted Direct RGB-D SLAM CVPR 2019 Balanced Ranking with Diversity Constraints IJCAI 2019 Bandit Online Learning with Unknown Delays AISTATS 2019 Bandits with Feedback Graphs and Switching Costs NeurIPS 2019 Batched Multi-armed Bandits Problem NeurIPS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019