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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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Papers (including subtopics)

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers CVPR 2024 FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering ACL 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fully Unconstrained Online Learning NeurIPS 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 Functional Bilevel Optimization for Machine Learning NeurIPS 2024 Functional Directed Acyclic Graphs JMLR 2024 Functional Gradient Flows for Constrained Sampling NeurIPS 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NeurIPS 2024 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Fundamental Convergence Analysis of Sharpness-Aware Minimization NeurIPS 2024 Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 Fundamental Properties of Causal Entropy and Information Gain CLeaR 2024 FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing NAACL 2024 Future Language Modeling from Temporal Document History ICLR 2024 FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving NeurIPS 2024 G^2N^2 : Weisfeiler and Lehman go grammatical ICLR 2024 GAATME: A Genetic Algorithm for Adversarial Translation Metrics Evaluation COLING 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024