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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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Papers (including subtopics)

An Analysis of Datasets, Metrics and Models in Keyphrase Generation ACL 2025 An And-Sum Circuit with Signed Edges That Is More Succinct than SDD AAAI 2025 An Architecture Search Framework for Inference-Time Techniques ICML 2025 An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale ICML 2025 An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025 An Asynchronous Bundle Method for Distributed Learning Problems ICLR 2025 An Augmentation Overlap Theory of Contrastive Learning JMLR 2025 An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact ACL 2025 An Automatic Method to Estimate Correctness of RAG COLING 2025 An Axiomatic Definition of Hierarchical Clustering JMLR 2025 A Near Linear Query Lower Bound for Submodular Maximization ICML 2025 A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization ICML 2025 An Effective Theory of Bias Amplification ICLR 2025 An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning ACL 2025 An Efficient Core-Guided Solver for Weighted Partial MaxSAT IJCAI 2025 An Efficient Framework for Crediting Data Contributors of Diffusion Models ICLR 2025 An Efficient Pruner for Large Language Model with Theoretical Guarantee ICML 2025 An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem AAAI 2025 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications AISTATS 2025 An Empirical Study of Iterative Refinements for Non-autoregressive Translation ACL 2025 An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025 An Empirical Study of Position Bias in Modern Information Retrieval EMNLP 2025 An End-to-End Model for Logits-Based Large Language Models Watermarking ICML 2025 An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models CVPR 2025 An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025