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9 Results
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Poster
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Thu 13:30 |
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti · Masha Naslidnyk · Oscar Key · Samuel Kaski · Francois-Xavier Briol |
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Poster
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Tue 17:00 |
Is Learning Summary Statistics Necessary for Likelihood-free Inference? Yanzhi Chen · Michael Gutmann · Adrian Weller |
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Poster
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Tue 14:00 |
Free-Form Variational Inference for Gaussian Process State-Space Models Xuhui Fan · Edwin V. Bonilla · Terence O'kane · Scott SIsson |
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Poster
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Tue 14:00 |
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval Kexun Zhang · Xianjun Yang · William Wang · Lei Li |
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Poster
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Thu 13:30 |
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping Ziyi Liang · Yanfei Zhou · Matteo Sesia |
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Poster
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Tue 14:00 |
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si · Zeyi Chen · Subham S Sahoo · Yair Schiff · Volodymyr Kuleshov |
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Workshop
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Flow Matching for Scalable Simulation-Based Inference Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen R. Green · Jakob Macke · Bernhard Schölkopf |
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Workshop
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Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller · Marco Federici · Christoph Weniger · Patrick Forré |
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Poster
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Wed 14:00 |
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin · Bahareh Tolooshams · Yves Atchade · Demba Ba |