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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)

Simplifying Deep Temporal Difference Learning ICLR 2025 Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving IJCAI 2025 Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks ICLR 2025 Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Vision CVPR 2025 SimulPL: Aligning Human Preferences in Simultaneous Machine Translation ICLR 2025 Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models ICML 2025 Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning ICLR 2025 Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation ICLR 2025 SINR: Sparsity Driven Compressed Implicit Neural Representations CVPR 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 SkillAggregation: Reference-free LLM-Dependent Aggregation ACL 2025 SkipGPT: Each Token is One of a Kind ICML 2025 Skybridge: Bounded Staleness for Distributed Caches OSDI 2025 SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression AAAI 2025 Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025 SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes ACL 2025 SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling EMNLP 2025 SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture NAACL 2025 Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency EMNLP 2025 SLIM: Subtrajectory-Level Elimination for More Effective Reasoning EMNLP 2025 SLlama: Parameter-Efficient Language Model Architecture for Enhanced Linguistic Competence Under Strict Data Constraints EMNLP 2025 SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs ICLR 2025 Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale ICLR 2025 Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025 Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025