7 citations · 7 across the 7 of their papers we have counts for
6 papers · 1 filter
Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions
Haijie Xu, Chen Zhang
Causal representation learning (CRL) aims to recover latent causal variables and their structural relations from high-dimensional observations. Existing CRL methods typically assum…
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang +1
Bayesian optimization (BO) has been widely used to optimize expensive and gradient-free objective functions across various domains. However, existing BO methods have not addressed…
Design of Experiment for Discovering Directed Mixed Graph
Haijie Xu, Chen Zhang
We study the design of interventions for causal discovery in simple structural causal models whose causal graphs are directed mixed graphs (DMGs) that may contain directed cycles a…
Quickest Causal Change Point Detection by Adaptive Intervention
Haijie Xu, Chen Zhang
We propose an algorithm for change point monitoring in linear causal models that accounts for interventions. Through a special centralization technique, we can concentrate the chan…
Functional-Edged Network Modeling
Haijie Xu, Chen Zhang
Contrasts with existing works which all consider nodes as functions and use edges to represent the relationships between different functions. We target at network modeling whose ed…
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
Haijie Xu, Xiaochen Xian, Chen Zhang +1
Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of varia…