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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)

Distributed Inference and Fine-tuning of Large Language Models Over The Internet NeurIPS 2023 Distributed Linear Bandits under Communication Constraints ICML 2023 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Distributed Personalized Empirical Risk Minimization NeurIPS 2023 Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023 Distributed Sparse Regression via Penalization JMLR 2023 Distributed Statistical Inference under Heterogeneity JMLR 2023 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023 Distributionally Robust Bayesian Optimization with φ-divergences NeurIPS 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Distributionally Robust Linear Quadratic Control NeurIPS 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023 Distributionally Robust Optimization with Probabilistic Group AAAI 2023 Distributionally Robust Post-hoc Classifiers under Prior Shifts ICLR 2023 Distributionally Robust Recourse Action ICLR 2023 Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NeurIPS 2023 Distributional Multi-Objective Decision Making IJCAI 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023 Distribution Free Domain Generalization ICML 2023 Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods NeurIPS 2023 Distribution Free Prediction Sets for Node Classification ICML 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 Distribution Learnability and Robustness NeurIPS 2023