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)
Preconditioners for the Stochastic Training of Neural Fields
CVPR 2025
Predicting quantum channels over general product distributions
COLT 2025
Prediction-Aware Learning in Multi-Agent Systems
ICML 2025
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
AAAI 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
IJCAI 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
ICML 2025
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
ICML 2025
PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
CoRL 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
ICML 2025
Private Blotto: Viewpoint Competition with Polarized Agents
AAAI 2025
Private List Learnability vs. Online List Learnability
COLT 2025
Private Lossless Multiple Release
ICML 2025
Privately Counting Partially Ordered Data
ICLR 2025
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
AAAI 2025
Proactive Data-driven Scheduling of Business Processes
IJCAI 2025
Probabilistic Explanations for Regression Models
UAI 2025
Probabilistic Factorial Experimental Design for Combinatorial Interventions
ICML 2025
Probabilistic Strategy Logic with Degrees of Observability
AAAI 2025
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
IJCAI 2025
Procurement Auctions via Approximately Optimal Submodular Optimization
ICML 2025
Progressive Correspondence Regenerator for Robust 3D Registration
CVPR 2025
Projection Pursuit Density Ratio Estimation
ICML 2025
Proofs as Explanations: Short Certificates for Reliable Predictions
COLT 2025
Proper losses regret at least 1/2-order
JMLR 2025
Proportionally Fair Matching via Randomized Rounding
AAAI 2025