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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Workshop
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Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
Jun Hyun Nam · Sangwoo Mo · Jaeho Lee · Jinwoo Shin
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Poster
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Tue 17:00
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Weakly Supervised Disentangled Generative Causal Representation Learning
Xinwei Shen · Furui Liu · Hanze Dong · Qing Lian · Zhitang Chen · Tong Zhang
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Workshop
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Sat 12:35
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Shared Stochastic Gaussian process Decoders: A Probabilistic Generative model for Quasar Spectra
Vidhi Ramesh · Anna-Christina Eilers
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Workshop
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Prediction under Latent Subgroup Shifts with High-dimensional Observations
William Walker · Arthur Gretton · Maneesh Sahani
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Poster
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Tue 14:00
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Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
Shayan Shirahmad Gale Bagi · Zahra Gharaee · Oliver Schulte · Mark Crowley
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Workshop
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Neuro-Causal Factor Analysis
Alex Markham · Mingyu Liu · Bryon Aragam · Liam Solus
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Workshop
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Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio
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Workshop
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Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang · Sun Sun · Yaoliang Yu
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Workshop
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Longitudinal Variational Autoencoder for Compositional Data Analysis
Mine Öğretir · Harri Lähdesmäki · Jamie Norton
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Workshop
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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Xiaoyu Liu · Jiaxin Yuan · Bang An · Yuancheng Xu · Yifan Yang · Furong Huang
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