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11 Results
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Poster
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Wed 14:00 |
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu · Noah Goodman |
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Poster
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Tue 14:00 |
A Statistical Online Inference Approach in Averaged Stochastic Approximation Chuhan Xie · Zhihua Zhang |
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Workshop
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One Network to Approximate Them All: Amortized Variational Inference of Ising Ground States Sebastian Sanokowski · Wilhelm Berghammer · Johannes Kofler · Sepp Hochreiter · Sebastian Lehner |
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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 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
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Poster
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Tue 14:00 |
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne |
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Poster
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Tue 14:00 |
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy · Joeri Hermans · François Rozet · Antoine Wehenkel · Gilles Louppe |
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Poster
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Wed 9:00 |
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira · Louis Tiao · Fabio Ramos |
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Workshop
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A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans · Arnaud Delaunoy · François Rozet · Antoine Wehenkel · Volodimir Begy · Gilles Louppe |
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Workshop
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Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon |
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Workshop
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Flow Annealed Importance Sampling Bootstrap Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato |