Peng Cui

Scalable Bayesian Active Learning with Batch Acquisition under Distribution Shift

Adaptive Marginal Sensitivity with Limited RCT Data for CATE Estimation

Identifying Outcome-Oriented Root Causes via Cross Regression

Task-Aligned Attention Retrieval for Scaling Tabular Foundation Models

RaBEL: Scale-Aware Radial-Basis Embeddings for Tabular Foundation Models

TabPalooza: A Benchmark Odyssey for Tabular Model Evaluation

Environment Inference for Learning Generalizable Dynamical System

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

Going Beyond Static: Understanding Shifts with Time-Series Attribution

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

Error Slice Discovery via Manifold Compactness

Learning Time-shared Hidden Heterogeneity for Counterfactual Outcome Forecast

Robust Heterogeneous Treatment Effect Estimation under Covariate Perturbation