Anirban Bhattacharya

According to our database, Anirban Bhattacharya authored at least 36 papers between 2009 and 2024.

Collaborative distances:

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

2024

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models.

Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati

Algorithms, May, 2024

High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior.

Xin Jin, Anirban Bhattacharya, Riddhi Pratim Ghosh

J. Multivar. Anal., March, 2024

Constrained Reweighting of Distributions: An Optimal Transport Approach.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

Entropy, March, 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

A Gibbs Posterior Framework for Fair Clustering.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

Entropy, January, 2024

2023

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.

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

CoRR, 2023

On the Convergence of Coordinate Ascent Variational Inference.

Anirban Bhattacharya, Debdeep Pati, Yun Yang

CoRR, 2023

Fair Clustering via Hierarchical Fair-Dirichlet Process.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

CoRR, 2023

EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations.

Yuhao Zhong, Anirban Bhattacharya, Satish T. S. Bukkapatnam

CoRR, 2023

Robust probabilistic inference via a constrained transport metric.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

CoRR, 2023

2022

A pseudo-spectral based efficient volume penalization scheme for Cahn-Hilliard equation in complex geometries.

Arijit Sinhababu, Anirban Bhattacharya

Math. Comput. Simul., 2022

Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models.

Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati

J. Mach. Learn. Res., 2022

Structured variational inference in Bayesian state-space models.

Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Non-Fourier Bioheat Transfer Model for Cryosurgery of Tumor Tissue with Minimum Collateral Damage.

C. Barman, Prasenjit Rath, Anirban Bhattacharya

Comput. Methods Programs Biomed., 2021

Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting.

Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference.

Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Hybrid Approximation to the Marginal Likelihood.

Eric Chuu, Debdeep Pati, Anirban Bhattacharya

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors.

Pallavi Ray, Debdeep Pati, Anirban Bhattacharya

Stat. Comput., 2020

Scalable Approximate MCMC Algorithms for the Horseshoe Prior.

James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya

J. Mach. Learn. Res., 2020

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models.

Sean Plummer, Debdeep Pati, Anirban Bhattacharya

Entropy, 2020

Probabilistic Hosting Capacity Analysis via Bayesian Optimization.

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

CoRR, 2020

Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.

Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Bandit Learning Through Biased Maximum Likelihood Estimation.

Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar

CoRR, 2019

Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging.

Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Heteroscedastic Bandits with Reneging.

Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar

CoRR, 2018

On Statistical Optimality of Variational Bayes.

Debdeep Pati, Anirban Bhattacharya, Yun Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2015

Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior.

Debdeep Pati, Anirban Bhattacharya, Guang Cheng

J. Mach. Learn. Res., 2015

2014

An enthalpy method for modeling eutectic solidification.

Anirban Bhattacharya, Apoorva Kiran, Shyamprasad Karagadde, Pradip Dutta

J. Comput. Phys., 2014

Finite element modeling and analysis of powder mixed electric discharge machining process for temperature distribution and volume removal considering multiple craters.

Hardeep Singh, Anirban Bhattacharya, Ajay Batish

Int. J. Model. Simul. Sci. Comput., 2014

2012

A coupled VOF-IBM-enthalpy approach for modeling motion and growth of equiaxed dendrites in a solidifying melt.

Shyamprasad Karagadde, Anirban Bhattacharya, Gaurav Tomar, Pradip Dutta

J. Comput. Phys., 2012

Fe simulation and Experimental Validation of powder mixed EDM Process for estimating the temperature Distribution and Volume Removed in single Crater.

Anirban Bhattacharya, Ajay Batish, Kulwinder Singh

Int. J. Model. Simul. Sci. Comput., 2012

Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors.

Anindya Lal Roy, Anirban Bhattacharya, Ritesh Ray Chaudhuri, Tarun Kanti Bhattacharyya

Proceedings of the 25th International Conference on VLSI Design, 2012

2011

Effect of parameters in resistance micro-welding of stainless steel cross wire using fractional factorial experimental design.

Jung-Mo Kim, Jaho Seo, Ajay Batish, Anirban Bhattacharya

Int. J. Manuf. Res., 2011

A Comparative Study Between a Micromechanical Cantilever Resonator and MEMS-based Passives for Band-pass Filtering Application

Joydeep Basu, Anirban Bhattacharya, Subha Chakraborty, T. K. Bhattacharyya

CoRR, 2011

2009

Optimization of surface roughness in an end-milling operation using nested experimental design.

Kandarp Patel, Ajay Batish, Anirban Bhattacharya

Prod. Eng., 2009

Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA.

Anirban Bhattacharya, Santanu Das, P. Majumder, Ajay Batish

Prod. Eng., 2009