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)
Universal Neural Optimal Transport
ICML 2025
Universal Online Convex Optimization Meets Second-order Bounds
JMLR 2025
Universal Rates for Multiclass Learning with Bandit Feedback
COLT 2025
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
ICCV 2025
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
NAACL 2025
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection
AAAI 2025
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
AAAI 2025
Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models
UAI 2025
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
ICLR 2025
UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning
ICLR 2025
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
ICLR 2025
Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
ICML 2025
Variance-Reducing Couplings for Random Features
ICLR 2025
Variety-Seeking Jump Games on Graphs
IJCAI 2025
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change
IJCAI 2025
Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3,8) and R(3,9) Problems
IJCAI 2025
VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations
JMLR 2025
Vib2Move: In-hand Object Reconfiguration via Fingertip Micro-vibrations
RSS 2025
Volume Optimality in Conformal Prediction with Structured Prediction Sets
ICML 2025
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
AAAI 2025
Wait-Less Offline Tuning and Re-solving for Online Decision Making
ICML 2025
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
ICLR 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
Weak Strategyproofness in Randomized Social Choice
AAAI 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
EMNLP 2025