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)
Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward
EMNLP 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
AISTATS 2023
Nearest Neighbour with Bandit Feedback
NeurIPS 2023
Near-Linear Time Algorithm for the Chamfer Distance
NeurIPS 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
ICML 2023
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
ICML 2023
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
ICML 2023
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
ICML 2023
Nearly Tight Bounds For Differentially Private Multiway Cut
NeurIPS 2023
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
ICML 2023
Near-optimal Coresets for Robust Clustering
ICLR 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
COLT 2023
Near Optimal Reconstruction of Spherical Harmonic Expansions
NeurIPS 2023
Near-Optimal Weighted Matrix Completion
JMLR 2023
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
NeurIPS 2023
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
ICML 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
ICML 2023
Networked Restless Bandits with Positive Externalities
AAAI 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
NeurIPS 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NeurIPS 2023
Neural Dependencies Emerging From Learning Massive Categories
CVPR 2023
Neural Fields with Hard Constraints of Arbitrary Differential Order
NeurIPS 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
NeurIPS 2023
Neural Inverse Operators for Solving PDE Inverse Problems
ICML 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NeurIPS 2023