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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

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 A Robust Hybrid ACC-PM Approach for Personal Sound Zones Interspeech 2025 A SAT-based Method for Counting All Singleton Attractors in Boolean Networks IJCAI 2025 ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization EMNLP 2025 A Structural Complexity Analysis of Hierarchical Task Network Planning IJCAI 2025 A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering ICML 2025 A Subquadratic Time Approximation Algorithm for Individually Fair k-Center AISTATS 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 A Survey on Bandit Learning in Matching Markets IJCAI 2025 Asymptotic Analysis of Weighted Fair Division IJCAI 2025 Asymptotic Fair Division: Chores Are Easier Than Goods IJCAI 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization IJCAI 2025 A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models AAAI 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025 A Trichotomy for List Transductive Online Learning ICML 2025 A Truncated Newton Method for Optimal Transport ICLR 2025 A Trust-Region Method for Graphical Stein Variational Inference UAI 2025 Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning IJCAI 2025 Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025 Augmented Mass-Spring Model for Real-Time Dense Hair Simulation ICCV 2025 Augmenting Online Algorithms for Knapsack Problem with Total Weight Information AAAI 2025 A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025