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