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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)

SMGDiff: Soccer Motion Generation using Diffusion Probabilistic Models ICCV 2025 SMLE: Safe Machine Learning via Embedded Overapproximation AAAI 2025 SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization AAAI 2025 Smoothed Online Convex Optimization with Delayed Feedback IJCAI 2025 Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences ICML 2025 Smooth Interpolation for Improved Discrete Graph Generative Models ICML 2025 SMT: Fine-Tuning Large Language Models with Sparse Matrices ICLR 2025 SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection SemEval 2025 SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models WACV 2025 SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs ACL 2025 SoftCVI: Contrastive variational inference with self-generated soft labels ICLR 2025 Soft Local Completeness: Rethinking Completeness in XAI ICCV 2025 Softmax is not Enough (for Sharp Size Generalisation) ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration ICML 2025 SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest EMNLP 2025 SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025 Solving Convex-Concave Problems with O(ε^-4/7) Second-Order Oracle Complexity COLT 2025 Solving Differential Equations with Constrained Learning ICLR 2025 Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo ICML 2025 Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives IJCAI 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 Solving Video Inverse Problems Using Image Diffusion Models ICLR 2025 Something’s Fishy in the Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks ACL 2025 SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization ICLR 2025