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
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Dueling Convex Optimization
ICML 2021
Dynamic influence maximization
NeurIPS 2021
Dynamic Proportional Rankings
IJCAI 2021
Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery
IJCAI 2021
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
NeurIPS 2021
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
NeurIPS 2021
Dynamic Trace Estimation
NeurIPS 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
AAAI 2021
Edge Sampling Using Local Network Information
JMLR 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
NeurIPS 2021
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors
CVPR 2021
Efficient and Local Parallel Random Walks
NeurIPS 2021
Efficient Balanced Treatment Assignments for Experimentation
AISTATS 2021
Efficient Bandit Convex Optimization: Beyond Linear Losses
COLT 2021
Efficient Coreset Constructions via Sensitivity Sampling
ACML 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
UAI 2021
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
AISTATS 2021
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
ICML 2021
Efficient Empowerment Estimation for Unsupervised Stabilization
ICLR 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
NeurIPS 2021
Efficient greedy coordinate descent via variable partitioning
UAI 2021
Efficient Initial Pose-Graph Generation for Global SfM
CVPR 2021
Efficient Large Scale Inlier Voting for Geometric Vision Problems
ICCV 2021
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
IJCAI 2021
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
ICML 2021