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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
'5
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'25

Papers (including subtopics)

Learning the Structure of Large Networked Systems Obeying Conservation Laws NeurIPS 2022 Learning To Anticipate Future With Dynamic Context Removal CVPR 2022 Learning to Branch with Tree MDPs NeurIPS 2022 Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation NeurIPS 2022 Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks NeurIPS 2022 Learning to Configure Computer Networks with Neural Algorithmic Reasoning NeurIPS 2022 Learning to Control Linear Systems can be Hard COLT 2022 Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning ICML 2022 Learning to Detect Noisy Labels Using Model-Based Features EMNLP 2022 Learning to Downsample for Segmentation of Ultra-High Resolution Images ICLR 2022 Learning to Generalize across Domains on Single Test Samples ICLR 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Learning to Hash Robustly, Guaranteed ICML 2022 Learning To Learn by Jointly Optimizing Neural Architecture and Weights CVPR 2022 Learning to Mediate Disparities Towards Pragmatic Communication ACL 2022 Learning to Optimize: A Primer and A Benchmark JMLR 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NeurIPS 2022 Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NeurIPS 2022 Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming ACL 2022 Learning to Schedule Learning rate with Graph Neural Networks ICLR 2022 Learning To Solve Hard Minimal Problems CVPR 2022 Learning Towards The Largest Margins ICLR 2022