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ORCIDBani K. Mallick
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2020 – today
- 2024
[j30]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick:
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. Trans. Mach. Learn. Res. 2024 (2024)- [j29]Jacob Helwig
, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati:
Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R. ACM Trans. Math. Softw. 50(2): 16:1-16:32 (2024) - [j28]Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie:
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems. IEEE Trans. Smart Grid 15(1): 617-626 (2024) - [i9]Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron Scheffler, Bani K. Mallick:
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. CoRR abs/2402.02734 (2024) - [i8]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick:
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. CoRR abs/2403.20047 (2024) - 2023
- [c6]Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick:
Calibrating the Rigged Lottery: Making All Tickets Reliable. ICLR 2023 - [c5]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. UAI 2023: 1445-1455 - [i7]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick:
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. CoRR abs/2301.03573 (2023) - [i6]Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick:
Calibrating the Rigged Lottery: Making All Tickets Reliable. CoRR abs/2302.09369 (2023) - [i5]Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie:
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems. CoRR abs/2305.07818 (2023) - [i4]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. CoRR abs/2305.18777 (2023) - [i3]Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick:
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR abs/2309.06349 (2023) - 2022
- [c4]Zhao Tang Luo, Huiyan Sang, Bani K. Mallick:
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression. ICML 2022: 14509-14526 - [c3]Yang Ni, Bani K. Mallick:
Ordinal causal discovery. UAI 2022: 1530-1540 - 2021
- [j27]Zhao Tang Luo, Huiyan Sang, Bani K. Mallick:
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. J. Mach. Learn. Res. 22: 37:1-37:52 (2021) - [c2]Zhao Tang Luo, Huiyan Sang, Bani K. Mallick:
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain. NeurIPS 2021: 90-102 - [i2]Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick:
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR abs/2112.09865 (2021) - 2020
- [j26]Arnab Kumar Maity, Sang Chan Lee, Bani K. Mallick, Tapasree Roy Sarkar:
Bayesian structural equation modeling in multiple omics data with application to circadian genes. Bioinform. 36(13): 3951-3958 (2020) - [j25]Nilabja Guha, Veera Baladandayuthapani, Bani K. Mallick:
Quantile Graphical Models: a Bayesian Approach. J. Mach. Learn. Res. 21: 79:1-79:47 (2020) - [i1]Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie:
Probabilistic Hosting Capacity Analysis via Bayesian Optimization. CoRR abs/2011.05193 (2020)
2010 – 2019
- 2018
- [j24]Richard D. Payne, Bani K. Mallick:
Two-Stage Metropolis-Hastings for Tall Data. J. Classif. 35(1): 29-51 (2018) - 2017
- [j23]Keren Yang, Nilabja Guha, Yalchin Efendiev, Bani K. Mallick:
Bayesian and variational Bayesian approaches for flows in heterogeneous random media. J. Comput. Phys. 345: 275-293 (2017) - [j22]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:
Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics 59(2): 153-164 (2017) - 2016
- [j21]Lin Zhang, Abhra Sarkar, Bani K. Mallick:
Bayesian sparse covariance decomposition with a graphical structure. Stat. Comput. 26(1-2): 493-510 (2016) - 2015
- [j20]Nilabja Guha, Xiaoqing Wu, Yalchin Efendiev, Bangti Jin, Bani K. Mallick:
A variational Bayesian approach for inverse problems with skew-t error distributions. J. Comput. Phys. 301: 377-393 (2015) - [j19]Arash Pourhabib, Bani K. Mallick, Yu Ding:
Absent data generating classifier for imbalanced class sizes. J. Mach. Learn. Res. 16: 2695-2724 (2015) - [j18]Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick:
An adaptive spatial model for precipitation data from multiple satellites over large regions. Stat. Comput. 25(2): 389-405 (2015) - 2014
- [j17]Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick, Marc G. Genton:
Mixtures of skewed Kalman filters. J. Multivar. Anal. 123: 228-251 (2014) - [j16]Anirban Mondal, Bani K. Mallick, Yalchin Efendiev, Akhil Datta-Gupta:
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model. Technometrics 56(3): 381-392 (2014) - 2012
- [j15]Sounak Chakraborty, Malay Ghosh, Bani K. Mallick:
Bayesian nonlinear regression for large p small n problems. J. Multivar. Anal. 108: 28-40 (2012) - 2011
- [j14]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:
Predictive modeling of a radiative shock system. Reliab. Eng. Syst. Saf. 96(9): 1184-1193 (2011) - [j13]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:
A physics informed emulator for laser-driven radiating shock simulations. Reliab. Eng. Syst. Saf. 96(9): 1194-1207 (2011) - [j12]Hayes F. Stripling, Marvin L. Adams, Ryan G. McClarren, Bani K. Mallick:
The Method of Manufactured Universes for validating uncertainty quantification methods. Reliab. Eng. Syst. Saf. 96(9): 1242-1256 (2011)
2000 – 2009
- 2008
- [j11]David L. Gold, Bani K. Mallick, Kevin R. Coombes:
Real-Time Gene Expression: Statistical Challenges in Design and Inference. J. Comput. Biol. 15(6): 611-623 (2008) - 2007
- [j10]David L. Gold, Kevin R. Coombes, Jing Wang, Bani K. Mallick:
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL. Briefings Bioinform. 8(2): 71-77 (2007) - 2005
- [j9]Wenjiang J. Fu, Edward R. Dougherty, Bani K. Mallick, Raymond J. Carroll:
How many samples are needed to build a classifier: a general sequential approach. Bioinform. 21(1): 63-70 (2005) - [j8]Kyounghwa Bae, Bani K. Mallick, Christine G. Elsik:
Prediction of protein interdomain linker regions by a hidden Markov model. Bioinform. 21(10): 2264-2270 (2005) - [j7]Feng Zhang, Bani K. Mallick, Zhujun Weng:
A Bayesian method for identifying independent sources of non-random spatial patterns. Stat. Comput. 15(4): 329-339 (2005) - 2004
- [j6]Kyounghwa Bae, Bani K. Mallick:
Gene selection using a two-level hierarchical Bayesian model. Bioinform. 20(18): 3423-3430 (2004) - 2003
- [j5]Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick:
Gene selection: a Bayesian variable selection approach. Bioinform. 19(1): 90-97 (2003) - [j4]Shubhankar Ray, Bani K. Mallick:
A Bayesian transformation model for wavelet shrinkage. IEEE Trans. Image Process. 12(12): 1512-1521 (2003) - 2002
- [c1]Shubhankar Ray, Andrew Chan, Bani K. Mallick:
Bayesian wavelet shrinkage in transformation based normal models. ICIP (1) 2002: 876-879 - 2000
- [j3]Christopher C. Holmes, Bani K. Mallick:
Bayesian wavelet networks for nonparametric regression. IEEE Trans. Neural Networks Learn. Syst. 11(1): 27-35 (2000)
1990 – 1999
- 1998
- [j2]Christopher C. Holmes, Bani K. Mallick:
Bayesian Radial Basis Functions of Variable Dimension. Neural Comput. 10(5): 1217-1233 (1998) - [j1]David G. T. Denison, Bani K. Mallick, Adrian F. M. Smith:
Bayesian MARS. Stat. Comput. 8(4): 337-346 (1998)
Coauthor Index
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