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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)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025 For Better or For Worse? Learning Minimum Variance Features With Label Augmentation ICLR 2025 ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities ICLR 2025 Forecasting Competitions with Correlated Events AAAI 2025 Forecasting Continuous Non-Conservative Dynamical Systems in SO(3) ICCV 2025 Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks EMNLP 2025 FORGETTER with forgetful hyperparameters and recurring sleeps can continue to learn beyond normal overtfitting limits EMNLP 2025 Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon EMNLP 2025 Formalizing Test-Time Compute for Function-Level Code Generation IJCNLP 2025 Formally Verified Approximate Policy Iteration AAAI 2025 Formal Quality Measures for Predictors in Markov Decision Processes AAAI 2025 Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates IJCAI 2025 Formation of Representations in Neural Networks ICLR 2025 For Universal Multiclass Online Learning, Bandit Feedback and Full Supervision are Equivalent ALT 2025 Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL 2025 Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports SemEval 2025 Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025 Foundations of the Theory of Performance-Based Ranking CVPR 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions ICLR 2025 FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025 Fractal Calibration for Long-tailed Object Detection CVPR 2025 FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression EMNLP 2025 FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy ACL 2025 FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling ICLR 2025 Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation ICLR 2025