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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Lightweight Connective Detection Using Gradient Boosting COLING 2024 Lightweight Transducer Based on Frame-Level Criterion Interspeech 2024 Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Limited Query Graph Connectivity Test AAAI 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Linear bandits with polylogarithmic minimax regret COLT 2024 Linear-Complexity Self-Supervised Learning for Speech Processing Interspeech 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 LinguaLinked: Distributed Large Language Model Inference on Mobile Devices ACL 2024 Linguistic Collapse: Neural Collapse in (Large) Language Models NeurIPS 2024 Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection COLING 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ICLR 2024 Liouville Flow Importance Sampler ICML 2024 Lipschitz Singularities in Diffusion Models ICLR 2024 LIRE: listwise reward enhancement for preference alignment ACL 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024 Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack NeurIPS 2024 Listening to the noise: Blind Denoising with Gibbs Diffusion ICML 2024 Listen, Repeat, Decide: Investigating Pronunciation Variation in Spoken Word Recognition among Russian Speakers COLING 2024 List Sample Compression and Uniform Convergence COLT 2024