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18 Results
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Poster
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Tue 9:00 |
Gradient Estimation with Discrete Stein Operators Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey |
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Poster
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Tue 14:00 |
Posterior Collapse of a Linear Latent Variable Model Zihao Wang · Liu Ziyin |
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Poster
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Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |
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Poster
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Thu 9:00 |
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi · Yusuke Iwasawa · Wataru Kumagai · Yutaka Matsuo |
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Workshop
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Learning latent variable evolution for the functional renormalization group Matija Medvidović · Alessandro Toschi · Giorgio Sangiovanni · Cesare Franchini · Andy Millis · Anirvan Sengupta · Domenico Di Sante |
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Poster
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Wed 9:00 |
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou |
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Poster
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Wed 9:00 |
Discovery of Single Independent Latent Variable Uri Shaham · Jonathan Svirsky · Ori Katz · Ronen Talmon |
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Poster
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Wed 9:00 |
Symmetry-induced Disentanglement on Graphs Giangiacomo Mercatali · Andre Freitas · Vikas Garg |
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Poster
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Wed 9:00 |
Identifiability of deep generative models without auxiliary information Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam |
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Poster
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Thu 14:00 |
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang · Yiqin Dai · Ji Xin · Ming Li · Jimmy Lin |
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Poster
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Thu 14:00 |
Selective compression learning of latent representations for variable-rate image compression Jooyoung Lee · Seyoon Jeong · Munchurl Kim |
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Poster
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Wed 14:00 |
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error Yuqin Yang · AmirEmad Ghassami · Mohamed Nafea · Negar Kiyavash · Kun Zhang · Ilya Shpitser |