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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)

Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora ACL 2025 Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification COLT 2025 Quantifying Semantic Emergence in Language Models ACL 2025 Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025 Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment COLING 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 Quantile Multi-Armed Bandits with 1-bit Feedback ALT 2025 Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Quantum Best Arm Identification with Quantum Oracles AAAI 2025 Quantum-Infused Whisper: A Framework for Replacing Classical Components AACL 2025 Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation AAAI 2025 Quantum Optimization via Gradient-Based Hamiltonian Descent ICML 2025 Quantum-PEFT: Ultra parameter-efficient fine-tuning ICLR 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025 Query Quantized Neural SLAM AAAI 2025 QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions ICML 2025 Questioning Our Questions: How Well Do Medical QA Benchmarks Evaluate Clinical Capabilities of Language Models? ACL 2025 QuEST: Stable Training of LLMs with 1-Bit Weights and Activations ICML 2025 Quickest Detection of Adversarial Attacks Against Correlated Equilibria AAAI 2025 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization ICCV 2025 QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection ICLR 2025 R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts ICML 2025