52 citations · 76 across the 5 of their papers we have counts for
5 papers
Deep Bootstrap for Bayesian Inference
Lizhen Nie, Veronika Rockova
For a Bayesian, the task to define the likelihood can be as perplexing as the task to define the prior. We focus on situations when the parameter of interest has been emancipated f…
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie, Mao Ye, Qiang Liu +1
Motivated by the rising abundance of observational data with continuous treatments, we investigate the problem of estimating the average dose-response curve (ADRF). Available param…
Weighted-Graph-Based Change Point Detection
Lizhen Nie, Dan L. Nicolae
We consider the detection and localization of change points in the distribution of an offline sequence of observations. Based on a nonparametric framework that uses a similarity gr…
Bayesian Bootstrap Spike-and-Slab LASSO
Lizhen Nie, Veronika Ročková
The impracticality of posterior sampling has prevented the widespread adoption of spike-and-slab priors in high-dimensional applications. To alleviate the computational burden, opt…
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye, Chengyue Gong, Lizhen Nie +3
Recent empirical works show that large deep neural networks are often highly redundant and one can find much smaller subnetworks without a significant drop of accuracy. However, mo…