Causal attribution with confidence

Connections as treatment: Causal inference with edge interventions in networks

Instrumental variable analysis with multivariate point process treatments

Covariate adjustment in randomized experiments motivated by HOIF

Identification of Subgroup Causal Effects in Randomized Trials under Nonignorable Missingness of Covariates and Outcome Variables Simultaneously

On the Representation of Pairwise Causal Background Knowledge and its Applications in Causal Inference

TBD

Local Identifying Causal Relations in the Presence of Latent Variables

Some rate optimal adaptive estimators and the necessary and sufficient conditions for phase transition in structured sparsity regime

Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation

Robust High-dimensional Inference for Causal Effects Under Unmeasured Confounding and Invalid Instruments with an Application to Multivariable Mendelian Randomization Analysis

Online policy learning and inference by matrix completion

TBD

Variational Bayesian Logistic Tensor Regression with Application to Image Recognition

TBD

Scalable inference in functional linear regression with streaming data

Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning