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)

JoPA: Explaining Large Language Model’s Generation via Joint Prompt Attribution ACL 2025 Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models ICLR 2025 KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems ICML 2025 KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance ACL 2025 Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling OSDI 2025 KAN: Kolmogorov–Arnold Networks ICLR 2025 KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models ICLR 2025 K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers IJCAI 2025 Keep Guessing? When Considering Inference Scaling, Mind the Baselines NAACL 2025 Kernel-based Optimally Weighted Conformal Time-Series Prediction ICLR 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025 Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications AAAI 2025 KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank AAAI 2025 KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025 Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation RSS 2025 KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks ICLR 2025 Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025 Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models ACL 2025 Knowledge Distillation for Language Models NAACL 2025 Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition ICLR 2025 Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025 Knowledge-Guided Wasserstein Distributionally Robust Optimization ICML 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models AAAI 2025 Kolmogorov-Arnold Transformer ICLR 2025 KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting ICLR 2025