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)

Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Ising Models with Independent Failures COLT 2019 Learning Linear-Quadratic Regulators Efficiently with only √T Regret ICML 2019 Learning Multiple Markov Chains via Adaptive Allocation NeurIPS 2019 Learning Non-Uniform Hypergraph for Multi-Object Tracking AAAI 2019 Learning Optimal Classification Trees Using a Binary Linear Program Formulation AAAI 2019 Learning Optimal Strategies to Commit To AAAI 2019 Learning Optimized Risk Scores JMLR 2019 Learning Positive Functions with Pseudo Mirror Descent NeurIPS 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 Learning to Bootstrap for Entity Set Expansion EMNLP 2019 Learning to Clear the Market ICML 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Learning to Match via Inverse Optimal Transport JMLR 2019 Learning to Optimize in Swarms NeurIPS 2019 Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019 Learning to Prune: Speeding up Repeated Computations COLT 2019 Learning to Screen NeurIPS 2019 Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP AAAI 2019 Learning Transformation Synchronization CVPR 2019 Learning Weighted Top-k Support Vector Machine ACML 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples IJCAI 2019 Least Squares Estimation of Weakly Convex Functions AISTATS 2019