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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)

LLM-enhanced Score Function Evolution for Causal Structure Learning IJCAI 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025 LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs NAACL 2025 LLMs cannot spot math errors, even when allowed to peek into the solution EMNLP 2025 LLMs Can Plan Only If We Tell Them ICLR 2025 LLMs can see and hear without any training ICML 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks ACL 2025 LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction ACL 2025 LLM The Genius Paradox: A Linguistic and Math Expert’s Struggle with Simple Word-based Counting Problems NAACL 2025 LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025 LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs ICCV 2025 LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding EMNLP 2025 Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold ICLR 2025 Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization JMLR 2025 Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation ICLR 2025 Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025 Locally Optimal Descent for Dynamic Stepsize Scheduling AISTATS 2025 Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models EMNLP 2025 LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning ICLR 2025 Local Prompt Optimization NAACL 2025 Local Regularizers Are Not Transductive Learners COLT 2025 Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer ICCV 2025 Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression ICLR 2025