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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Gradient Methods with Online Scaling COLT 2025 GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning ICML 2025 GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025 GRANNY: Granular Management of Compute-Intensive Applications in the Cloud NSDI 2025 Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations ICCV 2025 Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025 GraphArena: Evaluating and Exploring Large Language Models on Graph Computation ICLR 2025 Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models ICML 2025 Graph-Based Algorithms for Diverse Similarity Search ICML 2025 Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation ICML 2025 Graph Neural Networks Gone Hogwild ICLR 2025 Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems ICLR 2025 Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective ICLR 2025 GraphRouter: A Graph-based Router for LLM Selections ICLR 2025 Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization ICML 2025 GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers ICLR 2025 GreaterPrompt: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization ACL 2025 GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling ICLR 2025 Grokking at the Edge of Linear Separability ICML 2025 Grokking at the Edge of Numerical Stability ICLR 2025 Grokking Beyond the Euclidean Norm of Model Parameters ICML 2025 Group-Aware Reinforcement Learning for Output Diversity in Large Language Models EMNLP 2025 Group Distributionally Robust Dataset Distillation with Risk Minimization ICLR 2025 Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free ACL 2025 GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill CVPR 2025