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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Nonlinear transformers can perform inference-time feature learning ICML 2025 Non-myopic Generation of Language Models for Reasoning and Planning ICLR 2025 Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games IJCAI 2025 Nonparametric Identification of Latent Concepts ICML 2025 Nonparametric Modern Hopfield Models ICML 2025 Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025 Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability ICML 2025 Non-stochastic Bandits With Evolving Observations ALT 2025 Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback AAAI 2025 No Preference Left Behind: Group Distributional Preference Optimization ICLR 2025 No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization ICML 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025 NormAL LoRA: What is the perfect size? EMNLP 2025 Norm of Mean Contextualized Embeddings Determines their Variance COLING 2025 No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks NAACL 2025 Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025 Not All Language Model Features Are One-Dimensionally Linear ICLR 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks ICML 2025 Not All Wrong is Bad: Using Adversarial Examples for Unlearning ICML 2025 Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models EMNLP 2025 Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions EMNLP 2025 Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events ACL 2025 NovAScore: A New Automated Metric for Evaluating Document Level Novelty COLING 2025 NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts EMNLP 2025