Workshop
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Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
DAM Tuan · Brahim Driss · Odalric-Ambrym Maillard
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Workshop
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Power Mean Estimation in Stochastic Monte-Carlo Tree Search
DAM Tuan · Odalric-Ambrym Maillard · Emilie Kaufmann
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Poster
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Thu 4:30
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Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
Kai Xu · Hong Ge
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Workshop
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Accelerating statistical inferences in astrophysics with Neural Networks and Hamiltonian Monte Carlo
Diego Gonzalez-Hernandez · Molly Wolfson · Joseph Hennawi
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Workshop
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Accelerating statistical inferences in astrophysics with Neural Networks and Hamiltonian Monte Carlo
Diego Gonzalez-Hernandez · Molly Wolfson · Joseph Hennawi
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Oral
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Wed 2:15
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Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao · Rob Brekelmans · Alireza Makhzani · Roger Grosse
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Poster
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Thu 2:30
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Online Variational Sequential Monte Carlo
Alessandro Mastrototaro · Jimmy Olsson
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Poster
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Thu 4:30
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Accelerated Speculative Sampling Based on Tree Monte Carlo
Zhengmian Hu · Heng Huang
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Poster
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Tue 4:30
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Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
Liam Schramm · Abdeslam Boularias
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Poster
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Thu 4:30
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Estimating the Permanent by Nesting Importance Sampling
Juha Harviainen · Mikko Koivisto
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Poster
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Wed 2:30
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Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
Philip Schär · Michael Habeck · Daniel Rudolf
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Poster
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Thu 2:30
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Liouville Flow Importance Sampler
Yifeng Tian · Nishant Panda · Yen Ting Lin
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