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124 Results
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Poster
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Tue 2:30 |
Logistic Variational Bayes Revisited Michael Komodromos · Marina Evangelou · Sarah Filippi |
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Poster
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Tue 4:30 |
Conformal Predictions under Markovian Data Frédéric Zheng · Alexandre Proutiere |
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Workshop
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Learning Set Functions with Implicit Differentiation Gözde Özcan · Chengzhi Shi · Stratis Ioannidis |
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Workshop
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Hurdle Conjugate Priors for Scalable Tucker Decomposition John Hood · Aaron Schein |
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Poster
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Wed 2:30 |
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing · Xiaogang Jia · Johannes Esslinger · Francisco Vargas · Gerhard Neumann |
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Workshop
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Modelling Latent Dynamical Systems with Recognition-Parametrised Models Samo Hromadka · Maneesh Sahani |
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Poster
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Tue 2:30 |
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps Evgenii Egorov · Riccardo Valperga · Efstratios Gavves |
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Poster
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Tue 2:30 |
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko · Kyurae Kim · Woo Chang Kim · Jacob Gardner |
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Poster
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Tue 2:30 |
A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation Yosra MARNISSI · Maxime Leiber |
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Workshop
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Hurdle conjugate priors for scalable Tucker decomposition John Hood · Aaron Schein |
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Poster
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Wed 2:30 |
Bayesian Program Learning by Decompiling Amortized Knowledge Alessandro Palmarini · Christopher Lucas · Siddharth N |
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Poster
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Wed 2:30 |
Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le · Pavel Sountsov · Matthew Hoffman · Ben Lee · Brian Patton · Rif Saurous |