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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)

An Error Analysis of Flow Matching for Deep Generative Modeling ICML 2025 A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge IJCAI 2025 A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning ICML 2025 A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity ACL 2025 A new framework for evaluating model out-of-distribution generalisation for the biochemical domain ICLR 2025 A New Perspective on Shampoo's Preconditioner ICLR 2025 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations CVPR 2025 Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation ICML 2025 An in-depth human study of the mathematical reasoning abilities in Large Language Models EMNLP 2025 An Information-Theoretic Approach to Reducing Fertility in LLMs for Manipuri Machine Translation IJCNLP 2025 An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025 An Instrumental Value for Data Production and its Application to Data Pricing ICML 2025 An Inverse Optimization Approach to Contextual Inverse Optimization IJCAI 2025 An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025 An Iterative Algorithm for Rescaled Hyperbolic Functions Regression AISTATS 2025 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025 Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions ICML 2025 Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025 An Online Learning Theory of Trading-Volume Maximization ICLR 2025 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints ICML 2025 An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025