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
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Papers (including subtopics)
Optimal Attack and Defense for Reinforcement Learning
AAAI 2024
Optimal Auction Design with User Coupons in Advertising Systems
IJCAI 2024
Optimal Batched Linear Bandits
ICML 2024
Optimal bounds for ℓ_p sensitivity sampling via ℓ_2 augmentation
ICML 2024
Optimal Coresets for Low-Dimensional Geometric Median
ICML 2024
Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes
JMLR 2024
Optimal deep learning of holomorphic operators between Banach spaces
NeurIPS 2024
Optimal Design for Human Preference Elicitation
NeurIPS 2024
Optimal Differentially Private Model Training with Public Data
ICML 2024
Optimal Exploration is no harder than Thompson Sampling
AISTATS 2024
Optimal Extended Formulations from Optimal Dynamic Programming Algorithms
IJCAI 2024
Optimal First-Order Algorithms as a Function of Inequalities
JMLR 2024
Optimal Kernel Quantile Learning with Random Features
ICML 2024
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits
JMLR 2024
Optimally Improving Cooperative Learning in a Social Setting
ICML 2024
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
AAAI 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
AAAI 2024
Optimal Multiclass U-Calibration Error and Beyond
NeurIPS 2024
Optimal Multi-Fidelity Best-Arm Identification
NeurIPS 2024
Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining
AAAI 2024
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
NeurIPS 2024
Optimal Scalarizations for Sublinear Hypervolume Regret
NeurIPS 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
JMLR 2024
Optimal Survival Trees: A Dynamic Programming Approach
AAAI 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
NeurIPS 2024