Forough Fazeli-Asl

According to our database, Forough Fazeli-Asl authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating model fit for type II censored data: a Bayesian non-parametric approach based on the Kullback-Leibler divergence estimation.

Luai Al-Labadi, Forough Fazeli-Asl, Anna Ly

Commun. Stat. Simul. Comput., March, 2026

A Bayesian Bootstrap Framework for Mutual Information Neural Estimation: Bridging Classical Mutual Information Learning and Bayesian Nonparametric Learning.

Forough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang

Trans. Mach. Learn. Res., 2026

2025

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation.

Forough Fazeli-Asl, Michael Minyi Zhang, Bei Jiang, Linglong Kong

CoRR, March, 2025

2024

On Bayesian Hotelling's <i>T</i> ² test for the mean.

Luai Al-Labadi, Forough Fazeli-Asl, Kyuson Lim

Commun. Stat. Simul. Comput., October, 2024

A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks.

Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin

Trans. Mach. Learn. Res., 2024

2023

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy.

Forough Fazeli-Asl, Michael Minyi Zhang

CoRR, 2023

A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks.

Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin

CoRR, 2023

2021

A Bayesian Nonparametric Estimation of Mutual Information.

Luai Al-Labadi, Forough Fazeli-Asl, Zahra Saberi

CoRR, 2021