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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)

An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems JMLR 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation ACL 2024 An Information-Theoretic Analysis of In-Context Learning ICML 2024 An Information-Theoretic Approach to Analyze NLP Classification Tasks ACL 2024 An Information Theoretic Approach to Interaction-Grounded Learning ICML 2024 An information-theoretic lower bound in time-uniform estimation COLT 2024 An Information Theoretic Perspective on Conformal Prediction NeurIPS 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 An Interpretable Evaluation of Entropy-based Novelty of Generative Models ICML 2024 An invariant information geometric method for high-dimensional online optimization L4DC 2024 Anisotropy is Not Inherent to Transformers NAACL 2024 An Iterative Min-Min Optimization Method for Sparse Bayesian Learning ICML 2024 An L* Algorithm for Deterministic Weighted Regular Languages EMNLP 2024 An N-Point Linear Solver for Line and Motion Estimation with Event Cameras CVPR 2024 A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation ACL 2024 An Online Bootstrap for Time Series AISTATS 2024 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 An Open-Source Data Contamination Report for Large Language Models EMNLP 2024 A Note on Entrywise Consistency for Mixed-data Matrix Completion JMLR 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios EMNLP 2024 A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem AAAI 2024 Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows IJCAI 2024 ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS 2024