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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)

A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time AAAI 2025 A Bayesian Optimization Approach to Machine Translation Reranking NAACL 2025 A Biconvex Method for Minimum-Time Motion Planning Through Sequences of Convex Sets RSS 2025 Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p ICML 2025 A Bregman Proximal Viewpoint on Neural Operators ICML 2025 Abstraction-Based Control of Unknown Continuous-Space Models with Just Two Trajectories L4DC 2025 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization ICLR 2025 Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025 Accelerating optimization over the space of probability measures JMLR 2025 Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators ICML 2025 Accelerating Proximal Gradient Descent via Silver Stepsizes COLT 2025 Accelerating Spectral Clustering under Fairness Constraints ICML 2025 A Characterization of List Regression ALT 2025 Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks ICML 2025 Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously AAAI 2025 A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic AAAI 2025 A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD ICML 2025 A Continuous-time Tractable Model for Present-biased Agents AAAI 2025 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks AISTATS 2025 Active Learning with Selective Time-Step Acquisition for PDEs ICML 2025 Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching AAAI 2025 Active Treatment Effect Estimation via Limited Samples ICML 2025