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JMLR Workshop and Conference Proceedings|April 28, 2015
Spherical Hamiltonian Monte Carlo for Constrained Target DistributionsShiwei Lan, Bo Zhou, Babak ShahbabaBayesian Analysis|May 8, 2023
Variational Hamiltonian Monte Carlo via Score MatchingCheng Zhang, Babak Shahbaba, Hongkai ZhaoStatistics and Computing|October 7, 2017
Hamiltonian Monte Carlo acceleration using surrogate functions with random basesCheng Zhang, Babak Shahbaba, Hongkai ZhaoProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 11, 2015
Wormhole Hamiltonian Monte CarloShiwei Lan, Jeffrey Streets, Babak ShahbabaStatistics in Medicine|February 4, 2012
A pathway analysis method for genome-wide association studiesBabak Shahbaba, Catherine M Shachaf, Zhaoxia YuAnnals of Statistics|September 18, 2025
REINFORCEMENT LEARNING FOR INDIVIDUAL OPTIMAL POLICY FROM HETEROGENEOUS DATABy Rui Miao, Babak Shahbaba, Annie QuAlzheimer'S & Dementia : the Journal of the Alzheimer'S Association|August 5, 2025
Identifying dementia neuropathology using low-burden clinical dataYueqi Ren, Babak Shahbaba, Craig E L StarkAlzheimer'S & Dementia (Amsterdam, Netherlands)|November 1, 2023
Improving clinical efficiency in screening for cognitive impairment due to Alzheimer'sYueqi Ren, Babak Shahbaba, Craig E L StarkData Science in Science|June 1, 2026
Neurodatascience: Past, Present, and FutureKeiland W Cooper, Babak Shahbaba, Norbert J FortinJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|August 5, 2015
Markov Chain Monte Carlo from Lagrangian DynamicsShiwei Lan, Vasileios Stathopoulos, Babak Shahbaba, et al.Pageof 6