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
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'25
Papers (including subtopics)
Fair Disaster Containment via Graph-Cut Problems
AISTATS 2022
Fair Division of Indivisible Goods: A Survey
IJCAI 2022
FairFoody: Bringing In Fairness in Food Delivery
AAAI 2022
Fair, Individually Rational and Cheap Adjustment
IJCAI 2022
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization
CVPR 2022
Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space
CVPR 2022
Fast algorithm for overcomplete order-3 tensor decomposition
COLT 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NeurIPS 2022
Fast and accurate optimization on the orthogonal manifold without retraction
AISTATS 2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
AAAI 2022
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
AAAI 2022
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
AAAI 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning
ICML 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
ICML 2022
FastDOG: Fast Discrete Optimization on GPU
CVPR 2022
Faster Algorithms for Learning Convex Functions
ICML 2022
Faster Algorithms for Weak Backdoors
AAAI 2022
Faster and Scalable Algorithms for Densest Subgraph and Decomposition
NeurIPS 2022
Faster Linear Algebra for Distance Matrices
NeurIPS 2022
Faster Noisy Power Method
ALT 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
AISTATS 2022
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima
ALT 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
JMLR 2022
Faster Rates of Private Stochastic Convex Optimization
ALT 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
AISTATS 2022