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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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52
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828
3,646
5,854
2000
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Papers (including subtopics)

Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion Interspeech 2024 Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy ICML 2024 Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization ICML 2024 Local Search GFlowNets ICLR 2024 Local to Global: Learning Dynamics and Effect of Initialization for Transformers NeurIPS 2024 LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024 LoCoNet: Long-Short Context Network for Active Speaker Detection CVPR 2024 LoFiT: Localized Fine-tuning on LLM Representations NeurIPS 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NeurIPS 2024 Logical characterizations of recurrent graph neural networks with reals and floats NeurIPS 2024 Logical Languages Accepted by Transformer Encoders with Hard Attention ICLR 2024 Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning RSS 2024 Logistic Regression Under Network Dependence JMLR 2024 Logistic Variational Bayes Revisited ICML 2024 Logit Standardization in Knowledge Distillation CVPR 2024 Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference ICML 2024 LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024 LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024 LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024 LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models ICLR 2024 Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024 Long-tailed Diffusion Models with Oriented Calibration ICLR 2024 Long-Tailed Learning as Multi-Objective Optimization AAAI 2024