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)

Optimization of surface roughness in an end-milling operation using nested experimental design. - Kandarp Patel; Ajay Batish; Anirban Bhattacharya (Prod. Eng., 2009)

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)

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)

Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors. - Anindya Lal Roy; Anirban Bhattacharya; Ritesh Ray Chaudhuri; Tarun Kanti Bhattacharyya (VLSI Design, 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)

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)

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)

An enthalpy method for modeling eutectic solidification. - Anirban Bhattacharya; Apoorva Kiran; Shyamprasad Karagadde; Pradip Dutta (J. Comput. Phys., 2014)

Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. - Debdeep Pati; Anirban Bhattacharya; Guang Cheng (J. Mach. Learn. Res., 2015)

On Statistical Optimality of Variational Bayes. - Debdeep Pati; Anirban Bhattacharya; Yun Yang (AISTATS, 2018)

Heteroscedastic Bandits with Reneging. - Ping-Chun Hsieh; Xi Liu 011; Anirban Bhattacharya; P. R. Kumar 001 (CoRR, 2018)

Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. - Ping-Chun Hsieh; Xi Liu 011; Anirban Bhattacharya; P. R. Kumar 001 (ICML, 2019)

Bandit Learning Through Biased Maximum Likelihood Estimation. - Xi Liu 011; Ping-Chun Hsieh; Anirban Bhattacharya; P. R. Kumar 001 (CoRR, 2019)

Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. - Xi Liu 011; Ping-Chun Hsieh; Yu-Heng Hung; Anirban Bhattacharya; P. R. Kumar 001 (ICML, 2020)

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

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. - Sean Plummer; Debdeep Pati; Anirban Bhattacharya (Entropy, 2020)

Scalable Approximate MCMC Algorithms for the Horseshoe Prior. - James E. Johndrow; Paulo Orenstein; Anirban Bhattacharya (J. Mach. Learn. Res., 2020)

Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. - Pallavi Ray; Debdeep Pati; Anirban Bhattacharya (Stat. Comput., 2020)

A Hybrid Approximation to the Marginal Likelihood. - Eric Chuu; Debdeep Pati; Anirban Bhattacharya (AISTATS, 2021)

Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. - Sean Plummer; Shuang Zhou 013; Anirban Bhattacharya; David B. Dunson; Debdeep Pati (AISTATS, 2021)

Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. - Biraj Subhra Guha; Anirban Bhattacharya; Debdeep Pati (ICTAI, 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)

Structured variational inference in Bayesian state-space models. - Honggang Wang; Anirban Bhattacharya; Debdeep Pati; Yun Yang (AISTATS, 2022)

Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. - Indrajit Ghosh; Anirban Bhattacharya; Debdeep Pati (J. Mach. Learn. Res., 2022)

A pseudo-spectral based efficient volume penalization scheme for Cahn-Hilliard equation in complex geometries. - Arijit Sinhababu; Anirban Bhattacharya (Math. Comput. Simul., 2022)

Robust probabilistic inference via a constrained transport metric. - 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)

Fair Clustering via Hierarchical Fair-Dirichlet Process. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (CoRR, 2023)

On the Convergence of Coordinate Ascent Variational Inference. - Anirban Bhattacharya; Debdeep Pati; Yun Yang (CoRR, 2023)

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

A Gibbs Posterior Framework for Fair Clustering. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (Entropy, 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)

Constrained Reweighting of Distributions: An Optimal Transport Approach. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (Entropy, 2024)

High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior. - Xin Jin; Anirban Bhattacharya; Riddhi Pratim Ghosh (J. Multivar. Anal., 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, 2024)

Estimation of Large Zipfian Distributions with Sort and Snap. - Peter Matthew Jacobs; Anirban Bhattacharya; Debdeep Pati; Lekha Patel; Jeff M. Phillips (AISTATS, 2025)

Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median. - Jakwang Kim; Jiyoung Park; Anirban Bhattacharya (AISTATS, 2025)

Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models. - Sean Plummer; Anirban Bhattacharya; Debdeep Pati; Yun Yang (CPAL, 2025)

Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on [0, 1]d under Wasserstein Distance. - Peter Matthew Jacobs; Lekha Patel; Anirban Bhattacharya; Debdeep Pati (Trans. Mach. Learn. Res., 2025)