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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)

Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation ICLR 2025 Learning to Solve Differential Equation Constrained Optimization Problems ICLR 2025 Learning to Stop: Deep Learning for Mean Field Optimal Stopping ICML 2025 Learning to Substitute Words with Model-based Score Ranking NAACL 2025 Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits EMNLP 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025 Learning Trajectories of Figurative Language for Pre-Trained Language Models EMNLP 2025 Learning under Temporal Label Noise ICLR 2025 Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning AAAI 2025 Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels ICLR 2025 Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding AAAI 2025 Learning with Exact Invariances in Polynomial Time ICML 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Learning With Multi-Group Guarantees For Clusterable Subpopulations ICML 2025 Learn Singularly Perturbed Solutions via Homotopy Dynamics ICML 2025 Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control ICML 2025 Learn Your Reference Model for Real Good Alignment ICLR 2025 Leave-One-Out Stable Conformal Prediction ICLR 2025 LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 2025 Lemmas Matter, But Not Like That: Predictors of Lemma-Based Generalization in Morphological Inflection ACL 2025 Length Controlled Generation for Black-box LLMs ACL 2025 Length-Induced Embedding Collapse in PLM-based Models ACL 2025 LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection ICML 2025 LESA: Learnable LLM Layer Scaling-Up ACL 2025