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Poster
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Thu 14:00
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Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Yunbum Kook · Yin-Tat Lee · Ruoqi Shen · Santosh Vempala
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Workshop
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Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Or Sharir · Garnet Chan · Anima Anandkumar
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Poster
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Wed 14:00
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A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc · François Portier · Johan Segers · Aigerim Zhuman
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Poster
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Thu 14:00
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Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
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Poster
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Thu 14:00
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Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt · Biwei Dai · Uros Seljak
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Workshop
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Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Bingjie Wang · Joel Leja · Victoria Villar · Joshua Speagle
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Poster
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Trustworthy Monte Carlo
Juha Harviainen · Mikko Koivisto · Petteri Kaski
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Poster
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Thu 9:00
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Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai · Ryan Adams
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Poster
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
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Poster
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Tue 14:00
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Continuously Tempered PDMP samplers
Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead
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Poster
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Tue 14:00
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BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson
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Poster
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Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren · Nikolai Hofmann · Jacob Munkberg
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