3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers
Peyman Jalali, Nengfeng Zhou, Yufei Yu
Developing explainability methods for Natural Language Processing (NLP) models is a challenging task, for two main reasons. First, the high dimensionality of the data (large number…
stat.ME2020★ 2 cited
B-CONCORD -- A scalable Bayesian high-dimensional precision matrix estimation procedure
Peyman Jalali, Kshitij Khare, George Michailidis
Sparse estimation of the precision matrix under high-dimensional scaling constitutes a canonical problem in statistics and machine learning. Numerous regression and likelihood base…
stat.ME2019★ 3 cited
A Bayesian Approach to Joint Estimation of Multiple Graphical Models
Peyman Jalali, Kshitij Khare, George Michailidis
The problem of joint estimation of multiple graphical models from high dimensional data has been studied in the statistics and machine learning literature, due to its importance in…