A variational Bayesian approach for inverse problems with skew-t error distributions. - Nilabja Guha; Xiaoqing Wu; Yalchin Efendiev; Bangti Jin; Bani K. Mallick (J. Comput. Phys., 2015)

Multilevel approximate Bayesian approaches for flows in highly heterogeneous porous media and their applications. - Nilabja Guha; Xiaosi Tan (J. Comput. Appl. Math., 2017)

Bayesian and variational Bayesian approaches for flows in heterogeneous random media. - Keren Yang; Nilabja Guha; Yalchin Efendiev; Bani K. Mallick (J. Comput. Phys., 2017)

Dynamic data-driven Bayesian GMsFEM. - Siu Wun Cheung; Nilabja Guha (J. Comput. Appl. Math., 2019)

Quantile Graphical Models: a Bayesian Approach. - Nilabja Guha; Veerabhadran Baladandayuthapani; Bani K. Mallick (J. Mach. Learn. Res., 2020)

Stochastic Variance-Reduced Majorization-Minimization Algorithms. - Duy-Nhat Phan; Sedi Bartz; Nilabja Guha; Hung M. Phan (SIAM J. Math. Data Sci., 2024)