Co-occurring keywords · papers mentioning both
Papers
Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information
JMLR 2026
Deep Generative Quantile Bayes
AISTATS 2025
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
AISTATS 2025
Differentially Private Distributed Bayesian Linear Regression with MCMC
ICML 2023
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
ICML 2023
Multi-task learning with summary statistics
NeurIPS 2023
Fitting summary statistics of neural data with a differentiable spiking network simulator
NeurIPS 2021
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
ICML 2019
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NeurIPS 2018
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
ICML 2016
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
NeurIPS 2015
Distances between Data Sets Based on Summary Statistics
JMLR 2007