Bani K. Mallick

54 papers A* 4A 2Journal 45Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors.
CoRR
Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2026 J jnl
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model.
Technometrics
Antik Chakraborty, Jonelle L. Walsh, Louis Strigari, Bani K. Mallick, Anirban Bhattacharya
2026 J jnl
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees.
CoRR
Somjit Roy, Pritam Dey, Bani K. Mallick
2025 J jnl
Blocked Gibbs Sampler for Hierarchical Dirichlet Processes.
J. Comput. Graph. Stat.
Snigdha Das, Yabo Niu, Yang Ni, Bani K. Mallick, Debdeep Pati
2025 A* conf
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables.
ICML
Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani K. Mallick
2025 — conf
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.
CDC
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2024 J jnl
Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R.
ACM Trans. Math. Softw.
Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati
2024 J jnl
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems.
IEEE Trans. Smart Grid
Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2024 — conf
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction.
CPAL
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick
2024 J jnl
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World.
CoRR
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick
2024 J jnl
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World.
Trans. Mach. Learn. Res.
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick
2024 J jnl
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data.
J. Mach. Learn. Res.
Arhit Chakrabarti, Yang Ni, Ellen Ruth A. Morris, Michael L. Salinas, Robert S. Chapkin, Bani K. Mallick
2024 J jnl
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data.
CoRR
Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron W. Scheffler, Bani K. Mallick
2024 J jnl
Structured Optimal Variational Inference for Dynamic Latent Space Models.
J. Mach. Learn. Res.
Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2023 A conf
Adaptive Conditional Quantile Neural Processes.
UAI
Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
2023 J jnl
Adaptive Conditional Quantile Neural Processes.
CoRR
Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
2023 J jnl
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems.
CoRR
Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2023 J jnl
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction.
CoRR
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick
2023 A* conf
Calibrating the Rigged Lottery: Making All Tickets Reliable.
ICLR
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
2023 J jnl
Calibrating the Rigged Lottery: Making All Tickets Reliable.
CoRR
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
2023 J jnl
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.
CoRR
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
2022 A* conf
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression.
ICML
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
2022 A conf
Ordinal causal discovery.
UAI
Yang Ni, Bani K. Mallick
2021 J jnl
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.
J. Mach. Learn. Res.
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
2021 A* conf
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain.
NeurIPS
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
2021 J jnl
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.
CoRR
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2020 J jnl
Bayesian structural equation modeling in multiple omics data with application to circadian genes.
Bioinform.
Arnab Kumar Maity, Sang Chan Lee, Bani K. Mallick, Tapasree Roy Sarkar
2020 J jnl
Probabilistic Hosting Capacity Analysis via Bayesian Optimization.
CoRR
Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2020 J jnl
Quantile Graphical Models: a Bayesian Approach.
J. Mach. Learn. Res.
Nilabja Guha, Veerabhadran Baladandayuthapani, Bani K. Mallick
2018 J jnl
Two-Stage Metropolis-Hastings for Tall Data.
J. Classif.
Richard D. Payne, Bani K. Mallick
2017 J jnl
Bayesian and variational Bayesian approaches for flows in heterogeneous random media.
J. Comput. Phys.
Keren Yang, Nilabja Guha, Yalchin Efendiev, Bani K. Mallick
2017 J jnl
Emulation of Numerical Models With Over-Specified Basis Functions.
Technometrics
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
2016 J jnl
Bayesian sparse covariance decomposition with a graphical structure.
Stat. Comput.
Lin Zhang, Abhra Sarkar, Bani K. Mallick
2015 J jnl
A variational Bayesian approach for inverse problems with skew-t error distributions.
J. Comput. Phys.
Nilabja Guha, Xiaoqing Wu, Yalchin Efendiev, Bangti Jin, Bani K. Mallick
2015 J jnl
Absent data generating classifier for imbalanced class sizes.
J. Mach. Learn. Res.
Arash Pourhabib, Bani K. Mallick, Yu Ding
2015 J jnl
An adaptive spatial model for precipitation data from multiple satellites over large regions.
Stat. Comput.
Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick
2014 J jnl
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model.
Technometrics
Anirban Mondal, Bani K. Mallick, Yalchin Efendiev, Akhil Datta-Gupta
2014 J jnl
Mixtures of skewed Kalman filters.
J. Multivar. Anal.
Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton
2012 J jnl
Bayesian nonlinear regression for large p small n problems.
J. Multivar. Anal.
Sounak Chakraborty, Malay Ghosh, Bani K. Mallick
2011 J jnl
A physics informed emulator for laser-driven radiating shock simulations.
Reliab. Eng. Syst. Saf.
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
2011 J jnl
Predictive modeling of a radiative shock system.
Reliab. Eng. Syst. Saf.
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
2011 J jnl
The Method of Manufactured Universes for validating uncertainty quantification methods.
Reliab. Eng. Syst. Saf.
Hayes F. Stripling, Marvin L. Adams, Ryan G. McClarren, Bani K. Mallick
2008 J jnl
Real-Time Gene Expression: Statistical Challenges in Design and Inference.
J. Comput. Biol.
David L. Gold, Bani K. Mallick, Kevin R. Coombes
2007 J jnl
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL.
Briefings Bioinform.
David L. Gold, Kevin R. Coombes, Jing Wang, Bani K. Mallick
2005 J jnl
A Bayesian method for identifying independent sources of non-random spatial patterns.
Stat. Comput.
Feng Zhang, Bani K. Mallick, Zhujun Weng
2005 J jnl
How many samples are needed to build a classifier: a general sequential approach.
Bioinform.
Wenjiang J. Fu, Edward R. Dougherty, Bani K. Mallick, Raymond J. Carroll
2005 J jnl
Prediction of protein interdomain linker regions by a hidden Markov model.
Bioinform.
Kyounghwa Bae, Bani K. Mallick, Christine G. Elsik
2004 J jnl
Gene selection using a two-level hierarchical Bayesian model.
Bioinform.
Kyounghwa Bae, Bani K. Mallick
2003 J jnl
A Bayesian transformation model for wavelet shrinkage.
IEEE Trans. Image Process.
Shubhankar Ray, Bani K. Mallick
2003 J jnl
Gene selection: a Bayesian variable selection approach.
Bioinform.
Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick
2002 — conf
Bayesian wavelet shrinkage in transformation based normal models.
ICIP (1)
Shubhankar Ray, Andrew Chan, Bani K. Mallick
2000 J jnl
Bayesian wavelet networks for nonparametric regression.
IEEE Trans. Neural Networks Learn. Syst.
Christopher C. Holmes, Bani K. Mallick
1998 J jnl
Bayesian MARS.
Stat. Comput.
David G. T. Denison, Bani K. Mallick, Adrian F. M. Smith
1998 J jnl
Bayesian Radial Basis Functions of Variable Dimension.
Neural Comput.
Christopher C. Holmes, Bani K. Mallick