Anirban Bhattacharya

49 papers A* 2A 6B 1Misc 1Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors. CoRR Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2026	J	`jnl`	Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model. Technometrics Antik Chakraborty, Jonelle L. Walsh, Louis Strigari, Bani K. Mallick, Anirban Bhattacharya
2025	—	`conf`	Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models. CPAL Sean Plummer, Anirban Bhattacharya, Debdeep Pati, Yun Yang
2025	A	`conf`	Estimation of Large Zipfian Distributions with Sort and Snap. AISTATS Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips
2025	J	`jnl`	Graph-accelerated Markov Chain Monte Carlo using Approximate Samples. J. Mach. Learn. Res. Leo L. Duan, Anirban Bhattacharya
2025	J	`jnl`	Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on [0, 1] Trans. Mach. Learn. Res. Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya, Debdeep Pati
2025	J	`jnl`	Physics informed neural network-based framework for two-dimensional phase change problems. Comput. Phys. Commun. Sanjeet Patra, Manish Agrawal, Prasenjit Rath, Anirban Bhattacharya
2025	A	`conf`	Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median. AISTATS Jakwang Kim, Jiyoung Park, Anirban Bhattacharya
2024	J	`jnl`	A Gibbs Posterior Framework for Fair Clustering. Entropy Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2024	J	`jnl`	An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems. IEEE Trans. Smart Grid Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2024	J	`jnl`	Constrained Reweighting of Distributions: An Optimal Transport Approach. Entropy Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2024	J	`jnl`	EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models. Algorithms Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati
2024	J	`jnl`	High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior. J. Multivar. Anal. Xin Jin, Anirban Bhattacharya, Riddhi Pratim Ghosh
2024	J	`jnl`	Structured Optimal Variational Inference for Dynamic Latent Space Models. J. Mach. Learn. Res. Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2023	J	`jnl`	An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems. CoRR Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2023	J	`jnl`	Constrained Reweighting of Distributions: an Optimal Transport Approach. CoRR Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2023	J	`jnl`	EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations. CoRR Yuhao Zhong, Anirban Bhattacharya, Satish T. S. Bukkapatnam
2023	J	`jnl`	Fair Clustering via Hierarchical Fair-Dirichlet Process. CoRR Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2023	J	`jnl`	Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
2023	J	`jnl`	On the Convergence of Coordinate Ascent Variational Inference. CoRR Anirban Bhattacharya, Debdeep Pati, Yun Yang
2023	J	`jnl`	Robust probabilistic inference via a constrained transport metric. CoRR Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2022	J	`jnl`	A pseudo-spectral based efficient volume penalization scheme for Cahn-Hilliard equation in complex geometries. Math. Comput. Simul. Arijit Sinhababu, Anirban Bhattacharya
2022	J	`jnl`	Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. J. Mach. Learn. Res. Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati
2022	A	`conf`	Structured variational inference in Bayesian state-space models. AISTATS Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang
2021	A	`conf`	A Hybrid Approximation to the Marginal Likelihood. AISTATS Eric Chuu, Debdeep Pati, Anirban Bhattacharya
2021	J	`jnl`	A Non-Fourier Bioheat Transfer Model for Cryosurgery of Tumor Tissue with Minimum Collateral Damage. Comput. Methods Programs Biomed. C. Barman, Prasenjit Rath, Anirban Bhattacharya
2021	B	`conf`	Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. ICTAI Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
2021	A	`conf`	Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. AISTATS Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
2020	J	`jnl`	Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. Entropy Sean Plummer, Debdeep Pati, Anirban Bhattacharya
2020	J	`jnl`	Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Stat. Comput. Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
2020	A*	`conf`	Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
2020	J	`jnl`	Probabilistic Hosting Capacity Analysis via Bayesian Optimization. CoRR Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie
2020	J	`jnl`	Scalable Approximate MCMC Algorithms for the Horseshoe Prior. J. Mach. Learn. Res. James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya
2020	J	`jnl`	Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. CoRR Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
2020	J	`jnl`	Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference. CoRR Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
2019	J	`jnl`	Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
2019	A*	`conf`	Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018	J	`jnl`	Heteroscedastic Bandits with Reneging. CoRR Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018	A	`conf`	On Statistical Optimality of Variational Bayes. AISTATS Debdeep Pati, Anirban Bhattacharya, Yun Yang
2015	J	`jnl`	Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. Debdeep Pati, Anirban Bhattacharya, Guang Cheng
2014	J	`jnl`	An enthalpy method for modeling eutectic solidification. J. Comput. Phys. Anirban Bhattacharya, Apoorva Kiran, Shyamprasad Karagadde, Pradip Dutta
2014	J	`jnl`	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. Hardeep Singh, Anirban Bhattacharya, Ajay Batish
2012	J	`jnl`	A coupled VOF-IBM-enthalpy approach for modeling motion and growth of equiaxed dendrites in a solidifying melt. J. Comput. Phys. Shyamprasad Karagadde, Anirban Bhattacharya, Gaurav Tomar, Pradip Dutta
2012	Misc	`conf`	Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors. VLSI Design Anindya Lal Roy, Anirban Bhattacharya, Ritesh Ray Chaudhuri, Tarun Kanti Bhattacharyya
2012	J	`jnl`	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. Anirban Bhattacharya, Ajay Batish, Kulwinder Singh
2011	J	`jnl`	A Comparative Study Between a Micromechanical Cantilever Resonator and MEMS-based Passives for Band-pass Filtering Application CoRR Joydeep Basu, Anirban Bhattacharya, Subha Chakraborty, T. K. Bhattacharyya
2011	J	`jnl`	Effect of parameters in resistance micro-welding of stainless steel cross wire using fractional factorial experimental design. Int. J. Manuf. Res. Jung-Mo Kim, Jaho Seo, Ajay Batish, Anirban Bhattacharya
2009	J	`jnl`	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. Anirban Bhattacharya, Santanu Das, P. Majumder, Ajay Batish
2009	J	`jnl`	Optimization of surface roughness in an end-milling operation using nested experimental design. Prod. Eng. Kandarp Patel, Ajay Batish, Anirban Bhattacharya