sufficient statistics

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations ICLR 2024 Omnipredictors for regression and the approximate rank of convex functions COLT 2024 Private Learning with Public Features AISTATS 2024 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks COLT 2023 Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Approximate Profile Maximum Likelihood JMLR 2019 Minimal Achievable Sufficient Statistic Learning ICML 2019 Online Learning: Sufficient Statistics and the Burkholder Method COLT 2018 Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 Linear and Parallel Learning of Markov Random Fields ICML 2014 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Collective Graphical Models NeurIPS 2011 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008