activity
20202022
most citedScalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

stat.ML2022★ 2 cited

Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data

Sijia Li, Martín López-García, Neil D. Lawrence +1

Classically, statistical datasets have a larger number of data points than features (). The standard model of classical statistics caters for the case where data points are…

stat.ME2021

Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data

Xiudi Li, Sijia Li, Alex Luedtke

We present a general framework for using existing data to estimate the efficiency gain from using a covariate-adjusted estimator of a marginal treatment effect in a future randomiz…

stat.ML2020

Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning

Sijia Li, Xiudi Li, Alex Luedtke

We discuss the thought-provoking new objective functions for policy learning that were proposed in "More efficient policy learning via optimal retargeting" by Nathan Kallus and "Le…