Bani K. Mallick

According to our database, Bani K. Mallick authored at least 48 papers between 1998 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees.

Somjit Roy, Pritam Dey, Bani K. Mallick

CoRR, February, 2026

Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors.

Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick

CoRR, February, 2026

Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model.

Antik Chakraborty, Jonelle L. Walsh, Louis Strigari, Bani K. Mallick, Anirban Bhattacharya

Technometrics, January, 2026

2025

Blocked Gibbs Sampler for Hierarchical Dirichlet Processes.

Snigdha Das, Yabo Niu, Yang Ni, Bani K. Mallick, Debdeep Pati

J. Comput. Graph. Stat., 2025

Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables.

Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani K. Mallick

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.

Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R.

Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati

ACM Trans. Math. Softw., June, 2024

An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems.

Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie

IEEE Trans. Smart Grid, January, 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

Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data.

Arhit Chakrabarti, Yang Ni, Ellen Ruth A. Morris, Michael L. Salinas, Robert S. Chapkin, Bani K. Mallick

J. Mach. Learn. Res., 2024

Structured Optimal Variational Inference for Dynamic Latent Space Models.

Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick

J. Mach. Learn. Res., 2024

InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data.

Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron W. Scheffler, Bani K. Mallick

CoRR, 2024

Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction.

Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.

Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick

CoRR, 2023

Adaptive Conditional Quantile Neural Processes.

Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Calibrating the Rigged Lottery: Making All Tickets Reliable.

Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Ordinal causal discovery.

Yang Ni, Bani K. Mallick

Proceedings of the Uncertainty in Artificial Intelligence, 2022

BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

Proceedings of the International Conference on Machine Learning, 2022

2021

A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

J. Mach. Learn. Res., 2021

BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Quantile Graphical Models: a Bayesian Approach.

Nilabja Guha, Veerabhadran Baladandayuthapani, Bani K. Mallick

J. Mach. Learn. Res., 2020

Probabilistic Hosting Capacity Analysis via Bayesian Optimization.

Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie

CoRR, 2020

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

2018

Two-Stage Metropolis-Hastings for Tall Data.

Richard D. Payne, Bani K. Mallick

J. Classif., 2018

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

Bayesian and variational Bayesian approaches for flows in heterogeneous random media.

Keren Yang, Nilabja Guha, Yalchin Efendiev, Bani K. Mallick

J. Comput. Phys., 2017

2016

Bayesian sparse covariance decomposition with a graphical structure.

Lin Zhang, Abhra Sarkar, Bani K. Mallick

Stat. Comput., 2016

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

Absent data generating classifier for imbalanced class sizes.

Arash Pourhabib, Bani K. Mallick, Yu Ding

J. Mach. Learn. Res., 2015

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

2014

Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model.

Anirban Mondal, Bani K. Mallick, Yalchin Efendiev, Akhil Datta-Gupta

Technometrics, 2014

Mixtures of skewed Kalman filters.

Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton

J. Multivar. Anal., 2014

2012

Bayesian nonlinear regression for large p small n problems.

Sounak Chakraborty, Malay Ghosh, Bani K. Mallick

J. Multivar. Anal., 2012

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

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, Ben R. Torralva

Reliab. Eng. Syst. Saf., 2011

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, Kenneth G. Powell, Duchwan Ryu, Igor V. Sokolov, Gábor Tóth, Zhanyang Zhang

Reliab. Eng. Syst. Saf., 2011

2008

Real-Time Gene Expression: Statistical Challenges in Design and Inference.

David L. Gold, Bani K. Mallick, Kevin R. Coombes

J. Comput. Biol., 2008

2007

Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL.

David L. Gold, Kevin R. Coombes, Jing Wang, Bani K. Mallick

Briefings Bioinform., 2007

2005

A Bayesian method for identifying independent sources of non-random spatial patterns.

Feng Zhang, Bani K. Mallick, Zhujun Weng

Stat. Comput., 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

Prediction of protein interdomain linker regions by a hidden Markov model.

Kyounghwa Bae, Bani K. Mallick, Christine G. Elsik

Bioinform., 2005

2004

Gene selection using a two-level hierarchical Bayesian model.

Kyounghwa Bae, Bani K. Mallick

Bioinform., 2004

2003

A Bayesian transformation model for wavelet shrinkage.

Shubhankar Ray, Bani K. Mallick

IEEE Trans. Image Process., 2003

Gene selection: a Bayesian variable selection approach.

Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick

Bioinform., 2003

2002

Bayesian wavelet shrinkage in transformation based normal models.

Shubhankar Ray, Andrew Chan, Bani K. Mallick

Proceedings of the 2002 International Conference on Image Processing, 2002

2000

Bayesian wavelet networks for nonparametric regression.

Christopher C. Holmes, Bani K. Mallick

IEEE Trans. Neural Networks Learn. Syst., 2000

1998

Bayesian MARS.

David G. T. Denison, Bani K. Mallick, Adrian F. M. Smith

Stat. Comput., 1998

Bayesian Radial Basis Functions of Variable Dimension.

Christopher C. Holmes, Bani K. Mallick

Neural Comput., 1998