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Tutorial
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Mon 8:00
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Probabilistic Circuits: Representations, Inference, Learning and Applications
Antonio Vergari · YooJung Choi · Robert Peharz
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Workshop
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Symbolic Causal Inference via Operations on Probabilistic Circuits
Benjie Wang · Marta Kwiatkowska
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Poster
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Wed 14:00
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Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
Jörg Franke · Frederic Runge · Frank Hutter
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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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Poster
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Thu 9:00
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Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
Tim Reichelt · Luke Ong · Thomas Rainforth
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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 14:00
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Black-box coreset variational inference
Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos
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Poster
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Wed 14:00
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Foundation Posteriors for Approximate Probabilistic Inference
Mike Wu · Noah Goodman
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Poster
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Thu 9:00
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Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
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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 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Estimating graphical models for count data with applications to single-cell gene network
Feiyi Xiao · Junjie Tang · Huaying Fang · Ruibin Xi
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