5 citations · 12 across the 11 of their papers we have counts for
4 papers · 1 filter
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels
Austin Goddard, Yu Xiang, Ilya Soloveychik
We consider the problem of lower bounding the error probability under the invariant causal prediction (ICP) framework. To this end, we examine and draw connections between ICP and…
Identifying Direct Causes using Intervened Target Variable
Kang Du, Yu Xiang, Ilya Soloveychik
Identifying the direct causes or causal parents of a target variable is crucial for scientific discovery. Focusing on linear models, the invariant prediction framework was built up…
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
Jie Qiao, Ruichu Cai, Siyu Wu +3
Learning causal structure among event types from discrete-time event sequences is a particularly important but challenging task. Existing methods, such as the multivariate Hawkes p…
Generalized Invariant Matching Property via LASSO
Kang Du, Yu Xiang
Learning under distribution shifts is a challenging task. One principled approach is to exploit the invariance principle via the structural causal models. However, the invariance p…