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stat.ML2025
Contrastive Network Representation Learning
Zihan Dong, Xin Zhou, Ryumei Nakada +2
Network representation learning seeks to embed networks into a low-dimensional space while preserving the structural and semantic properties, thereby facilitating downstream tasks…
stat.ML2024
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
Hengrui Cai, Huaqing Jin, Lexin Li
Estimating treatment effects from observational data is of central interest across numerous application domains. Individual treatment effect offers the most granular measure of tre…
stat.ML2023
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Yunzhe Zhou, Chengchun Shi, Lexin Li +1
The Markov property is widely imposed in analysis of time series data. Correspondingly, testing the Markov property, and relatedly, inferring the order of a Markov model, are of pa…