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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)

Information Locality as an Inductive Bias for Neural Language Models ACL 2025 Information-Theoretic and Prompt-Based Evaluation of Discourse Connective Edits in Instructional Text Revisions EMNLP 2025 Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements ALT 2025 Information Theoretic Pruning of Coupled Channels in Deep Neural Networks WACV 2025 Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime COLT 2025 Information Theory and Linguistic Variation: A Study of Brazilian and European Portuguese COLING 2025 IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective AAAI 2025 Injecting Imbalance Sensitivity for Multi-Task Learning IJCAI 2025 Injective flows for star-like manifolds ICLR 2025 Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025 Input Space Mode Connectivity in Deep Neural Networks ICLR 2025 InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025 Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025 InspectorRAGet: An Introspection Platform for RAG Evaluation NAACL 2025 Instability, Computational Efficiency and Statistical Accuracy JMLR 2025 Instability in Downstream Task Performance During LLM Pretraining EMNLP 2025 InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications EMNLP 2025 Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback COLT 2025 Instance-level Randomization: Toward More Stable LLM Evaluations EMNLP 2025 Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms ICML 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025 Instruction-Following Pruning for Large Language Models ICML 2025 Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs ICCV 2025 Integral Fast Fourier Color Constancy CVPR 2025 Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test JMLR 2025