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)
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
ICML 2025
Adaptive backtracking line search
ICLR 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
JMLR 2025
Adaptive Control of Positive Systems with Application to Learning SSP
L4DC 2025
Adaptive Data Collection for Robust Learning Across Multiple Distributions
ICML 2025
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
ICLR 2025
Adaptive Estimation and Learning under Temporal Distribution Shift
ICML 2025
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design
AAAI 2025
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
ICML 2025
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
AISTATS 2025
Adaptive Manipulation for Coalitions in Knockout Tournaments
AAAI 2025
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce
AAAI 2025
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
CVPR 2025
Adaptive Sample Sharing for Multi Agent Linear Bandits
ICML 2025
Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits
UAI 2025
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
ICML 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
JMLR 2025
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
AAAI 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
JMLR 2025
ADMM for Nonconvex Optimization under Minimal Continuity Assumption
ICLR 2025
ADMM for Structured Fractional Minimization
ICLR 2025
Adversarial Combinatorial Semi-bandits with Graph Feedback
ICML 2025
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations
L4DC 2025
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
UAI 2025