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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)

Global Optimization with a Power-Transformed Objective and Gaussian Smoothing ICML 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025 Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models ACL 2025 Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes ICML 2025 Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025 Gradient Methods with Online Scaling COLT 2025 Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025 GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration AAAI 2025 Grokking at the Edge of Linear Separability ICML 2025 Gromov-Wasserstein Problem with Cyclic Symmetry CVPR 2025 Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery ICML 2025 Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions ICML 2025 Gumbel Reranking: Differentiable End-to-End Reranker Optimization ACL 2025 HA/TCP: A Reliable and Scalable Framework for TCP Network Functions NSDI 2025 Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine IJCAI 2025 HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update ICML 2025 Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025 Heterogeneous Multi-Agent Bandits with Parsimonious Hints AAAI 2025 Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints AAAI 2025 Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations AAAI 2025 Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability ICML 2025 Hierarchical Refinement: Optimal Transport to Infinity and Beyond ICML 2025 High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm ALT 2025