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12 Results

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Poster
Thu 13:30 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny · Guillaume Lample · sylvain lamprier · Marco Virgolin
Poster
Tue 14:00 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
Yasa Syed · Guanyang Wang
Workshop
Multilevel Control Functional
Kaiyu Li · Zhuo Sun
Poster
Tue 14:00 Truncating Trajectories in Monte Carlo Reinforcement Learning
Riccardo Poiani · Alberto Maria Metelli · Marcello Restelli
Workshop
Sat 16:45 Field-Level Inference with Microcanonical Langevin Monte Carlo
Adrian Bayer · Uros Seljak · Chirag Modi
Poster
Thu 16:30 Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad · Brian Patton · Matthew Hoffman · Rif Saurous · Vikash Mansinghka
Workshop
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
Waïss Azizian · Guillaume Baudart · Marc Lelarge
Workshop
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander Lew · Tan Zhi-Xuan · Gabriel Grand · Vikash Mansinghka
Poster
Wed 14:00 Scalable Safe Policy Improvement via Monte Carlo Tree Search
Alberto Castellini · Federico Bianchi · Edoardo Zorzi · Thiago Simão · Alessandro Farinelli · Matthijs T. J. Spaan
Workshop
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Brian Trippe · Luhuan Wu · Christian Naesseth · David Blei · John Cunningham
Poster
Thu 16:30 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
Wesley A. Suttle · Amrit Bedi · Bhrij Patel · Brian Sadler · Alec Koppel · Dinesh Manocha
Workshop
Fri 15:15 Inferring the Future by Imagining the Past
Kartik Chandra · Tony Chen · Tzu-Mao Li · Jonathan Ragan-Kelley · Josh Tenenbaum