Bayesian Radial Basis Functions of Variable Dimension. - Christopher C. Holmes; Bani K. Mallick (Neural Comput., 1998)

Bayesian MARS. - David G. T. Denison; Bani K. Mallick; Adrian F. M. Smith (Stat. Comput., 1998)

Bayesian wavelet networks for nonparametric regression. - Christopher C. Holmes; Bani K. Mallick (IEEE Trans. Neural Networks Learn. Syst., 2000)

Bayesian wavelet shrinkage in transformation based normal models. - Shubhankar Ray; Andrew Chan; Bani K. Mallick (ICIP (1), 2002)

Gene selection: a Bayesian variable selection approach. - Kyeong Eun Lee; Naijun Sha; Edward R. Dougherty; Marina Vannucci; Bani K. Mallick (Bioinform., 2003)

A Bayesian transformation model for wavelet shrinkage. - Shubhankar Ray; Bani K. Mallick (IEEE Trans. Image Process., 2003)

Gene selection using a two-level hierarchical Bayesian model. - Kyounghwa Bae; Bani K. Mallick (Bioinform., 2004)

Prediction of protein interdomain linker regions by a hidden Markov model. - Kyounghwa Bae; Bani K. Mallick; Christine G. Elsik (Bioinform., 2005)

How many samples are needed to build a classifier: a general sequential approach. - Wenjiang J. Fu; Edward R. Dougherty; Bani K. Mallick; Raymond J. Carroll (Bioinform., 2005)

A Bayesian method for identifying independent sources of non-random spatial patterns. - Feng Zhang; Bani K. Mallick; Zhujun Weng (Stat. Comput., 2005)

Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL. - David L. Gold; Kevin R. Coombes; Jing Wang 006; Bani K. Mallick (Briefings Bioinform., 2007)

Real-Time Gene Expression: Statistical Challenges in Design and Inference. - David L. Gold; Bani K. Mallick; Kevin R. Coombes (J. Comput. Biol., 2008)

Predictive modeling of a radiative shock system. - James Paul Holloway; Derek Bingham; Chuan-Chih Chou; Forrest Doss; R. Paul Drake; Bruce Fryxell; Michael Grosskopf; Bart van der Holst; Bani K. Mallick; Ryan G. McClarren; Ashin Mukherjee; Vijay N. Nair; et al. (Reliab. Eng. Syst. Saf., 2011)

A physics informed emulator for laser-driven radiating shock simulations. - Ryan G. McClarren; Duchwan Ryu; R. Paul Drake; Michael Grosskopf; Derek Bingham; Chuan-Chih Chou; Bruce Fryxell; Bart van der Holst; James Paul Holloway; Carolyn C. Kuranz; Bani K. Mallick; Erica Rutter; et al. (Reliab. Eng. Syst. Saf., 2011)

The Method of Manufactured Universes for validating uncertainty quantification methods. - Hayes F. Stripling; Marvin L. Adams; Ryan G. McClarren; Bani K. Mallick (Reliab. Eng. Syst. Saf., 2011)

Bayesian nonlinear regression for large p small n problems. - Sounak Chakraborty; Malay Ghosh; Bani K. Mallick (J. Multivar. Anal., 2012)

Mixtures of skewed Kalman filters. - Hyoung-Moon Kim; Duchwan Ryu; Bani K. Mallick; Marc G. Genton (J. Multivar. Anal., 2014)

Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model. - Anirban Mondal; Bani K. Mallick; Yalchin Efendiev; Akhil Datta-Gupta (Technometrics, 2014)

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)

Absent data generating classifier for imbalanced class sizes. - Arash Pourhabib; Bani K. Mallick; Yu Ding 002 (J. Mach. Learn. Res., 2015)

An adaptive spatial model for precipitation data from multiple satellites over large regions. - Avishek Chakraborty; Swarup De; Kenneth P. Bowman; Huiyan Sang; Marc G. Genton; Bani K. Mallick (Stat. Comput., 2015)

Bayesian sparse covariance decomposition with a graphical structure. - Lin Zhang; Abhra Sarkar; Bani K. Mallick (Stat. Comput., 2016)

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

Emulation of Numerical Models With Over-Specified Basis Functions. - Avishek Chakraborty; Derek Bingham; Soma S. Dhavala; Carolyn C. Kuranz; R. Paul Drake; Michael J. Grosskopf; Erica M. Rutter; Ben R. Torralva; James Paul Holloway; Ryan G. McClarren; Bani K. Mallick (Technometrics, 2017)

Two-Stage Metropolis-Hastings for Tall Data. - Richard D. Payne; Bani K. Mallick (J. Classif., 2018)

Bayesian structural equation modeling in multiple omics data with application to circadian genes. - Arnab Kumar Maity; Sang Chan Lee; Bani K. Mallick; Tapasree Roy Sarkar (Bioinform., 2020)

Probabilistic Hosting Capacity Analysis via Bayesian Optimization. - Xinbo Geng; Lang Tong 001; Anirban Bhattacharya; Bani K. Mallick; Le Xie (CoRR, 2020)

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

BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (NeurIPS, 2021)

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. - Sutanoy Dasgupta; Yabo Niu; Kishan Panaganti; Dileep Kalathil; Debdeep Pati; Bani K. Mallick (CoRR, 2021)

A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (J. Mach. Learn. Res., 2021)

BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression. - Zhao Tang Luo; Huiyan Sang; Bani K. Mallick (ICML, 2022)

Ordinal causal discovery. - Yang Ni; Bani K. Mallick (UAI, 2022)

Calibrating the Rigged Lottery: Making All Tickets Reliable. - Bowen Lei; Ruqi Zhang; Dongkuan Xu; Bani K. Mallick (ICLR, 2023)

Adaptive Conditional Quantile Neural Processes. - Peiman Mohseni; Nick Duffield; Bani K. Mallick; Arman Hasanzadeh (UAI, 2023)

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. - Prateek Jaiswal; Debdeep Pati; Anirban Bhattacharya; Bani K. Mallick (CoRR, 2023)

Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. - Bowen Lei; Dongkuan Xu; Ruqi Zhang; Shuren He; Bani K. Mallick (CPAL, 2024)

InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. - Bowen Lei; Rajarshi Guhaniyogi; Krishnendu Chandra; Aaron Scheffler; Bani K. Mallick (CoRR, 2024)

Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. - Bowen Lei; Dongkuan Xu; Ruqi Zhang; Bani K. Mallick (Trans. Mach. Learn. Res., 2024)

An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems. - Kiyeob Lee; Peng Zhao 021; Anirban Bhattacharya; Bani K. Mallick; Le Xie 001 (IEEE Trans. Smart Grid, 2024)

Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R. - Jacob Helwig; Sutanoy Dasgupta; Peng Zhao 021; Bani K. Mallick; Debdeep Pati (ACM Trans. Math. Softw., 2024)

Blocked Gibbs Sampler for Hierarchical Dirichlet Processes. - Snigdha Das; Yabo Niu; Yang Ni; Bani K. Mallick; Debdeep Pati (J. Comput. Graph. Stat., 2025)