3 papers
stat.ME2025
Flexible Selective Inference with Flow-based Transport Maps
Sifan Liu, Snigdha Panigrahi
Data-carving methods perform selective inference by conditioning the distribution of data on the observed selection event. However, existing data-carving approaches typically requi…
stat.CO2023
Langevin Quasi-Monte Carlo
Sifan Liu
Langevin Monte Carlo (LMC) and its stochastic gradient versions are powerful algorithms for sampling from complex high-dimensional distributions. To sample from a distribution with…
stat.ME2023
An Exact Sampler for Inference after Polyhedral Model Selection
Sifan Liu
Inference after model selection presents computational challenges when dealing with intractable conditional distributions. Markov chain Monte Carlo (MCMC) is a common method for sa…