Anirban Bhattacharya

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 30

Top Topics

Gaussian Process

Marginal Likelihood

Variational Inference

Probabilistic Graphical Models

Top Venues

J. Mach. Learn. Res.

Publications

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) (2024)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
A Gibbs Posterior Framework for Fair Clustering. Entropy 26 (1) (2024)
Xin Jin, Anirban Bhattacharya, Riddhi Pratim Ghosh
High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior. J. Multivar. Anal. 200 (2024)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Constrained Reweighting of Distributions: An Optimal Transport Approach. Entropy 26 (3) (2024)
Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati
EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models. Algorithms 17 (5) (2024)
Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems. CoRR (2023)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Constrained Reweighting of Distributions: an Optimal Transport Approach. CoRR (2023)
Anirban Bhattacharya, Debdeep Pati, Yun Yang
On the Convergence of Coordinate Ascent Variational Inference. CoRR (2023)
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR (2023)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Robust probabilistic inference via a constrained transport metric. CoRR (2023)
Yuhao Zhong, Anirban Bhattacharya, Satish T. S. Bukkapatnam
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations. CoRR (2023)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Fair Clustering via Hierarchical Fair-Dirichlet Process. CoRR (2023)
Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. J. Mach. Learn. Res. 23 (2022)
Arijit Sinhababu, Anirban Bhattacharya
A pseudo-spectral based efficient volume penalization scheme for Cahn-Hilliard equation in complex geometries. Math. Comput. Simul. 199 (2022)
Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang
Structured variational inference in Bayesian state-space models. AISTATS (2022)
C. Barman, Prasenjit Rath, Anirban Bhattacharya
A Non-Fourier Bioheat Transfer Model for Cryosurgery of Tumor Tissue with Minimum Collateral Damage. Comput. Methods Programs Biomed. 200 (2021)
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. ICTAI (2021)
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. AISTATS (2021)
Eric Chuu, Debdeep Pati, Anirban Bhattacharya
A Hybrid Approximation to the Marginal Likelihood. AISTATS (2021)
Sean Plummer, Debdeep Pati, Anirban Bhattacharya
Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. Entropy 22 (11) (2020)
Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Stat. Comput. 30 (4) (2020)
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML (2020)
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference. CoRR (2020)
Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie
Probabilistic Hosting Capacity Analysis via Bayesian Optimization. CoRR (2020)
James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya
Scalable Approximate MCMC Algorithms for the Horseshoe Prior. J. Mach. Learn. Res. 21 (2020)
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. CoRR (2020)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML (2019)
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR (2019)
Debdeep Pati, Anirban Bhattacharya, Yun Yang
On Statistical Optimality of Variational Bayes. AISTATS (2018)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Heteroscedastic Bandits with Reneging. CoRR (2018)
Debdeep Pati, Anirban Bhattacharya, Guang Cheng
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. 16 (2015)
Anirban Bhattacharya, Apoorva Kiran, Shyamprasad Karagadde, Pradip Dutta
An enthalpy method for modeling eutectic solidification. J. Comput. Phys. 262 (2014)
Hardeep Singh, Anirban Bhattacharya, Ajay Batish
Finite element modeling and analysis of powder mixed electric discharge machining process for temperature distribution and volume removal considering multiple craters. Int. J. Model. Simul. Sci. Comput. 5 (3) (2014)
Shyamprasad Karagadde, Anirban Bhattacharya, Gaurav Tomar, Pradip Dutta
A coupled VOF-IBM-enthalpy approach for modeling motion and growth of equiaxed dendrites in a solidifying melt. J. Comput. Phys. 231 (10) (2012)
Anindya Lal Roy, Anirban Bhattacharya, Ritesh Ray Chaudhuri, Tarun Kanti Bhattacharyya
Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors. VLSI Design (2012)
Anirban Bhattacharya, Ajay Batish, Kulwinder Singh
Fe simulation and Experimental Validation of powder mixed EDM Process for estimating the temperature Distribution and Volume Removed in single Crater. Int. J. Model. Simul. Sci. Comput. 3 (2) (2012)
Joydeep Basu, Anirban Bhattacharya, Subha Chakraborty, T. K. Bhattacharyya
A Comparative Study Between a Micromechanical Cantilever Resonator and MEMS-based Passives for Band-pass Filtering Application CoRR (2011)
Jung-Mo Kim, Jaho Seo, Ajay Batish, Anirban Bhattacharya
Effect of parameters in resistance micro-welding of stainless steel cross wire using fractional factorial experimental design. Int. J. Manuf. Res. 6 (3) (2011)
Anirban Bhattacharya, Santanu Das, P. Majumder, Ajay Batish
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. Prod. Eng. 3 (1) (2009)
Kandarp Patel, Ajay Batish, Anirban Bhattacharya
Optimization of surface roughness in an end-milling operation using nested experimental design. Prod. Eng. 3 (4-5) (2009)