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10/27/2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
The problem of inferring object shape from a single 2D image is undercon...
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10/21/2022
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
Hamiltonian Monte Carlo (HMC) is a widely used sampler for continuous pr...
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10/25/2021
Nested R̂: Assessing Convergence for Markov chain Monte Carlo when using many short chains
When using Markov chain Monte Carlo (MCMC) algorithms, we can increase t...
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10/22/2021
Focusing on Difficult Directions for Learning HMC Trajectory Lengths
Hamiltonian Monte Carlo (HMC) is a premier Markov Chain Monte Carlo (MCM...
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06/12/2020
Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC
Learning energy-based model (EBM) requires MCMC sampling of the learned ...
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02/04/2020
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most im...
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01/14/2020
FunMC: A functional API for building Markov Chains
Constant-memory algorithms, also loosely called Markov chains, power the...
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01/14/2020
Hamiltonian Monte Carlo Swindles
Hamiltonian Monte Carlo (HMC) is a powerful Markov chain Monte Carlo (MC...
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03/09/2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
Hamiltonian Monte Carlo is a powerful algorithm for sampling from diffic...
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06/10/2016