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Disambiguation of "Agrawal, Raj"

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Hamiltonian Monte Carlo using an embedded Laplace approximation

, , , and . (2020)cite arxiv:2004.12550Comment: 16 pages, 12 figures.

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Deepashri Agrawal

Mukesh Agrawal

Mudit Agrawal

Hemant Agrawal

Milan Agrawal

 

Other publications of authors with the same name

LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6315-6324. PMLR, (2019)Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond., , , and . NeurIPS, (2020)Data-dependent compression of random features for large-scale kernel approximation., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1822-1831. PMLR, (2019)Practical Methods for Scalable Bayesian and Causal Inference with Provable Quality Guarantees.. Massachusetts Institute of Technology, USA, (2021)The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 141-150. PMLR, (2019)ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery., , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3400-3409. PMLR, (2019)Hamiltonian Monte Carlo using an embedded Laplace approximation, , , and . (2020)cite arxiv:2004.12550Comment: 16 pages, 12 figures.The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time., and . J. Mach. Learn. Res., (2023)The CPD Data Set: Personnel, Use of Force, and Complaints in the Chicago Police Department., , , , and . NeurIPS Datasets and Benchmarks, (2021)Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors., , , , and . CLeaR, volume 177 of Proceedings of Machine Learning Research, page 669-687. PMLR, (2022)