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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)

Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach IJCAI 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models ICML 2025 Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey IJCAI 2025 Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs NAACL 2025 Intelligence at the Edge of Chaos ICLR 2025 Interacting Particle Systems for Fast Linear Quadratic RL L4DC 2025 Interactive Multimodal Learning via Flat Gradient Modification IJCAI 2025 Interactive Text Games: Lookahead Is All You Need! ACL 2025 Interactive Training: Feedback-Driven Neural Network Optimization EMNLP 2025 Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis ICLR 2025 InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025 Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models EMNLP 2025 Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization EMNLP 2025 Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces ICML 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents EMNLP 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh ICCV 2025 Inverse Constitutional AI: Compressing Preferences into Principles ICLR 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Inverse Optimization via Learning Feasible Regions ICML 2025 Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo ICML 2025 Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025