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04/24/2022
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
Nowadays, the interpretation of why a machine learning (ML) model makes ...
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11/21/2021
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
In this work, we consider the algorithm to the (nonlinear) regression pr...
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07/10/2021
Convergence Analysis of Schrödinger-Föllmer Sampler without Convexity
Schrödinger-Föllmer sampler (SFS) is a novel and efficient approach for ...
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06/21/2021
Schrödinger-Föllmer Sampler: Sampling without Ergodicity
Sampling from probability distributions is an important problem in stati...
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01/27/2020
On Newton Screening
Screening and working set techniques are important approaches to reducin...
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01/16/2020