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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

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828
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2000
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Papers (including subtopics)

JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning ACL 2024 JumpCoder: Go Beyond Autoregressive Coder via Online Modification ACL 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts NeurIPS 2024 Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms CVPR 2024 Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting NeurIPS 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models PGM 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models ICML 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NeurIPS 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Kernel Thinning JMLR 2024 Keyphrase Generation: Lessons from a Reproducibility Study COLING 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution NeurIPS 2024 Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education NSDI 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024 Knowledge Distillation Based on Transformed Teacher Matching ICLR 2024 Knowledge Editing in Language Models via Adapted Direct Preference Optimization EMNLP 2024 Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic COLING 2024