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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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Papers (including subtopics)

Self-Play Q-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma ICML 2025 Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst ACL 2025 Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025 Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction WACV 2025 Self-Supervised Prompt Optimization EMNLP 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 SelKD: Selective Knowledge Distillation via Optimal Transport Perspective ICLR 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025 Semantic Causality-Aware Vision-Based 3D Occupancy Prediction ICCV 2025 Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations ICLR 2025 Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors ICLR 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning ICML 2025 Semialgebraic Neural Networks: From roots to representations ICLR 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025 Semi-Implicit Neural Ordinary Differential Equations AAAI 2025 Semiparametric conformal prediction AISTATS 2025 Semi-Parametric Retrieval via Binary Bag-of-Tokens Index ICLR 2025 Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images ICML 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation CVPR 2025 Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations ICLR 2025 Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models EMNLP 2025 Sensitivity Verification for Additive Decision Tree Ensembles ICLR 2025 SensorFlow: Sensor and Image Fused Video Stabilization WACV 2025 Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation AAAI 2025 SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection ACL 2025