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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)

Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Inference for mark-censored temporal point processes UAI 2023 Inference for probabilistic dependency graphs UAI 2023 Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 Inferring the Future by Imagining the Past NeurIPS 2023 Infinite Action Contextual Bandits with Reusable Data Exhaust ICML 2023 Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 Inflow, Outflow, and Reciprocity in Machine Learning ICML 2023 Influence Diagnostics under Self-concordance AISTATS 2023 Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023 InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation EMNLP 2023 Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise COLT 2023 Information-Directed Selection for Top-Two Algorithms COLT 2023 Information Geometry of the Retinal Representation Manifold NeurIPS 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NeurIPS 2023 Information Plane Analysis for Dropout Neural Networks ICLR 2023 Information-Theoretic Analysis of Unsupervised Domain Adaptation ICLR 2023 Information-Theoretic Diffusion ICLR 2023 Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NeurIPS 2023 Information Transfer in Multitask Learning, Data Augmentation, and Beyond AAAI 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Ingredient-Oriented Multi-Degradation Learning for Image Restoration CVPR 2023 In-Hand 3D Object Scanning From an RGB Sequence CVPR 2023 Inherent Redundancy in Spiking Neural Networks ICCV 2023