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A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.

R. Gautier, P. Pandita, S. Ghosh, and D. Mavris. CoRR, (2020)

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Piyush Goel

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Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process.S. Ravi, Y. Comlek, W. Chen, A. Pathak, V. Gupta, R. Umretiya, A. Hoffman, G. Pilania, P. Pandita, S. Ghosh and 2 other author(s). CoRR, (2024)Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field.L. Luan, N. Ramachandra, S. Ravi, A. Bhaduri, P. Pandita, P. Balaprakash, M. Anitescu, C. Sun, and L. Wang. CoRR, (2023)Deriving Information Acquisition Criteria For Sequentially Inferring The Expected Value Of A Black-Box Function.P. Pandita, I. Bilionis, and J. Panchal. CoRR, (2018)Data-based Discovery of Governing Equations.W. Subber, P. Pandita, S. Ghosh, G. Khan, L. Wang, and R. Ghanem. CoRR, (2020)Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes.P. Tsilifis, P. Pandita, S. Ghosh, V. Andreoli, T. Vandeputte, and L. Wang. CoRR, (2020)Data-based Discovery of Governing Equations.W. Subber, P. Pandita, S. Ghosh, G. Khan, L. Wang, and R. Ghanem. AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Advances in Bayesian Probabilistic Modeling for Industrial Applications.S. Ghosh, P. Pandita, S. Atkinson, W. Subber, Y. Zhang, N. Chennimalai-Kumar, S. Chakrabarti, and L. Wang. CoRR, (2020)A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.R. Gautier, P. Pandita, S. Ghosh, and D. Mavris. CoRR, (2020)Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design.P. Pandita, N. Awalgaonkar, I. Bilionis, and J. Panchal. CoRR, (2019)Towards Scalable Gaussian Process Modeling.P. Pandita, J. Kristensen, and L. Wang. CoRR, (2019)

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Disambiguation of "Pandita, Piyush"

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A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.

Please choose a person to relate this publication to

Piyush Goel

Other publications of authors with the same name

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Disambiguation of "Pandita, Piyush"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.

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Piyush Goel

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A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.