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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)

Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers ICML 2025 Lower Bounds for Greedy Teaching Set Constructions COLT 2025 Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes COLT 2025 Lower Bounds for Time-Varying Kernelized Bandits AISTATS 2025 Lower Bounds on the Size of Markov Equivalence Classes UAI 2025 Low-Perplexity LLM-Generated Sequences and Where To Find Them ACL 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Low-rank fine-tuning lies between lazy training and feature learning COLT 2025 Low-Rank Interconnected Adaptation across Layers ACL 2025 LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models EMNLP 2025 LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo EMNLP 2025 LR²Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems ACL 2025 LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025 LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning EMNLP 2025 LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025 L-SWAG: Layer-Sample Wise Activation with Gradients Information for Zero-Shot NAS on Vision Transformers CVPR 2025 LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression NAACL 2025 LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing EMNLP 2025 M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation ACL 2025 Machine-generated text detection prevents language model collapse EMNLP 2025 Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy IJCAI 2025 Machine Unlearning Fails to Remove Data Poisoning Attacks ICLR 2025 MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models AAAI 2025 MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ICML 2025