Optimal Transport for Structure Learning Under Missing Data

Optimal Transport for Structure Learning Under Missing Data

23 February 2024

Trung Le

Edwin V. Bonilla

Papers citing "Optimal Transport for Structure Learning Under Missing Data"

12 / 12 papers shown

Title
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 63 0 0 03 Mar 2025
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models Xiaohao Yang He Zhao Dinh Q. Phung Wray L. Buntine Lan Du ALM ELM 66 2 0 13 Jun 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 24 1 0 06 Feb 2024
Variational DAG Estimation via State Augmentation With Stochastic Permutations Edwin V. Bonilla P. Elinas He Zhao Maurizio Filippone V. Kitsios Terry O'Kane CML 35 3 0 04 Feb 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 48 78 0 16 Sep 2022
Tutorial on amortized optimization Brandon Amos OffRL 67 42 0 01 Feb 2022
Optimal transport for causal discovery Ruibo Tu Kun Zhang Hedvig Kjellström Cheng Zhang 87 19 0 23 Jan 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 47 61 0 04 Nov 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 48 71 0 18 Oct 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 75 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019
Nonparametric sparsity and regularization Lorenzo Rosasco S. Villa S. Mosci M. Santoro A. Verri 80 102 0 13 Aug 2012