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Anirban Bhattacharya
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2020 – today
- 2024
- [j19]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): 213 (2024) - [j18]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
A Gibbs Posterior Framework for Fair Clustering. Entropy 26(1): 63 (2024) - [j17]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Constrained Reweighting of Distributions: An Optimal Transport Approach. Entropy 26(3): 249 (2024) - [j16]Xin Jin, Anirban Bhattacharya, Riddhi Pratim Ghosh:
High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior. J. Multivar. Anal. 200: 105279 (2024) - [j15]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) - 2023
- [i13]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Robust probabilistic inference via a constrained transport metric. CoRR abs/2303.10085 (2023) - [i12]Yuhao Zhong, Anirban Bhattacharya, Satish T. S. Bukkapatnam:
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations. CoRR abs/2305.00213 (2023) - [i11]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) - [i10]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Fair Clustering via Hierarchical Fair-Dirichlet Process. CoRR abs/2305.17557 (2023) - [i9]Anirban Bhattacharya, Debdeep Pati, Yun Yang:
On the Convergence of Coordinate Ascent Variational Inference. CoRR abs/2306.01122 (2023) - [i8]Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick:
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR abs/2309.06349 (2023) - [i7]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Constrained Reweighting of Distributions: an Optimal Transport Approach. CoRR abs/2310.12447 (2023) - 2022
- [j14]Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati:
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. J. Mach. Learn. Res. 23: 184:1-184:42 (2022) - [j13]Arijit Sinhababu, Anirban Bhattacharya:
A pseudo-spectral based efficient volume penalization scheme for Cahn-Hilliard equation in complex geometries. Math. Comput. Simul. 199: 1-24 (2022) - [c8]Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang:
Structured variational inference in Bayesian state-space models. AISTATS 2022: 8884-8905 - 2021
- [j12]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: 105857 (2021) - [c7]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: 2449-2457 - [c6]Eric Chuu, Debdeep Pati, Anirban Bhattacharya:
A Hybrid Approximation to the Marginal Likelihood. AISTATS 2021: 3214-3222 - [c5]Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. ICTAI 2021: 442-446 - 2020
- [j11]Sean Plummer, Debdeep Pati, Anirban Bhattacharya:
Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. Entropy 22(11): 1263 (2020) - [j10]James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya:
Scalable Approximate MCMC Algorithms for the Horseshoe Prior. J. Mach. Learn. Res. 21: 73:1-73:61 (2020) - [j9]Pallavi Ray, Debdeep Pati, Anirban Bhattacharya:
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Stat. Comput. 30(4): 839-853 (2020) - [c4]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: 6248-6258 - [i6]Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. CoRR abs/2010.09540 (2020) - [i5]Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati:
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference. CoRR abs/2010.14056 (2020) - [i4]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
- 2019
- [c3]Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar:
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML 2019: 2800-2809 - [i3]Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar:
Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR abs/1907.01287 (2019) - 2018
- [c2]Debdeep Pati, Anirban Bhattacharya, Yun Yang:
On Statistical Optimality of Variational Bayes. AISTATS 2018: 1579-1588 - [i2]Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar:
Heteroscedastic Bandits with Reneging. CoRR abs/1810.12418 (2018) - 2015
- [j8]Debdeep Pati, Anirban Bhattacharya, Guang Cheng:
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. 16: 2837-2851 (2015) - 2014
- [j7]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): 1450009 (2014) - [j6]Anirban Bhattacharya, Apoorva Kiran, Shyamprasad Karagadde, Pradip Dutta:
An enthalpy method for modeling eutectic solidification. J. Comput. Phys. 262: 217-230 (2014) - 2012
- [j5]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): 1250006 (2012) - [j4]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): 3987-4000 (2012) - [c1]Anindya Lal Roy, Anirban Bhattacharya, Ritesh Ray Chaudhuri, Tarun Kanti Bhattacharyya:
Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors. VLSI Design 2012: 185-190 - 2011
- [j3]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): 290-303 (2011) - [i1]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 abs/1106.1894 (2011)
2000 – 2009
- 2009
- [j2]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): 31-40 (2009) - [j1]Kandarp Patel, Ajay Batish, Anirban Bhattacharya:
Optimization of surface roughness in an end-milling operation using nested experimental design. Prod. Eng. 3(4-5): 361-373 (2009)
Coauthor Index
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last updated on 2024-09-13 01:37 CEST by the dblp team
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