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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)

Dataset Distillation by Matching Training Trajectories CVPR 2022 Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022 Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges IJCAI 2022 DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 DDDM: A Brain-Inspired Framework for Robust Classification IJCAI 2022 Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022 Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions JMLR 2022 Debiased Machine Learning without Sample-Splitting for Stable Estimators NeurIPS 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Debiasing Neural Retrieval via In-batch Balancing Regularization NAACL 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 Decentralized cloud wide-area network traffic engineering with BLASTSHIELD NSDI 2022 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks NeurIPS 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM RSS 2022 Decentralized Training of Foundation Models in Heterogeneous Environments NeurIPS 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 Deciphering Environmental Air Pollution with Large Scale City Data IJCAI 2022 Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm ICML 2022 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022