Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search CVPR 2025 Suboptimal Search with Dynamic Distribution of Suboptimality AAAI 2025 Sub-Sequential Physics-Informed Learning with State Space Model ICML 2025 Subspace Optimization for Large Language Models with Convergence Guarantees ICML 2025 Substitute Adjustment via Recovery of Latent Variables JMLR 2025 SUE: Sparsity-based Uncertainty Estimation via Sparse Dictionary Learning EMNLP 2025 Sufficient Invariant Learning for Distribution Shift CVPR 2025 SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints AAAI 2025 Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates ACL 2025 Super Resolved Imaging with Adaptive Optics ICCV 2025 SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads NSDI 2025 Supervised and Unsupervised Probing of Shortcut Learning: Case Study on the Emergence and Evolution of Syntactic Heuristics in BERT ACL 2025 Supervised Optimism Correction: Be Confident When LLMs Are Sure ACL 2025 Supervised Score-Based Modeling by Gradient Boosting AAAI 2025 SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity CVPR 2025 Surprise Calibration for Better In-Context Learning EMNLP 2025 SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media ACL 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression NAACL 2025 SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models ICLR 2025 SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training ICML 2025 SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence EMNLP 2025 Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding COLING 2025 SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025 Swing-by Dynamics in Concept Learning and Compositional Generalization ICLR 2025