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Person
Oren Rami Mangoubi
This person is no longer with EPFL
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Related publications (3)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
We obtain quantitative bounds on the mixing properties of the Hamiltonian Monte Carlo (HMC) algorithm with target distribution in d-dimensional Euclidean space, showing that HMC mixes quickly whenever the target log-distribution is strongly concave and has ...
MICROTOME PUBLISHING2019Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Nisheeth Vishnoi, Oren Rami Mangoubi
Hamiltonian Monte Carlo (HMC) is a widely deployed method to sample from high-dimensional distributions in Statistics and Machine learning. HMC is known to run very efficiently in practice and its popular second-order "leapfrog" implementation has long bee ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018