7 citations · 7 across the 4 of their papers we have counts for
4 papers
On the Complexity of Bayesian Signal Processing
Yi Liu
We develop a computational framework for Bayesian decision-making. We show that as long as no action is optimal in every state, Bayes-optimal choice is intractable. This hardness n…
A statistically consistent measure of semantic uncertainty using Language Models
Yi Liu
To address the challenge of quantifying uncertainty in the outputs generated by language models, we propose a novel measure of semantic uncertainty, semantic spectral entropy, that…
Variable Selection via Thompson Sampling
Yi Liu, Veronika Rockova
Thompson sampling is a heuristic algorithm for the multi-armed bandit problem which has a long tradition in machine learning. The algorithm has a Bayesian spirit in the sense that…
Variable Selection with ABC Bayesian Forests
Yi Liu, Veronika Ročková, Yuexi Wang
Few problems in statistics are as perplexing as variable selection in the presence of very many redundant covariates. The variable selection problem is most familiar in parametric…