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239 Results
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Poster
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Wed 9:00 |
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li |
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Workshop
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Few Shot Generative Domain Adaptation Via Inference-Stage Latent Learning in GANs Arnab Kumar Mondal · Piyush Tiwary · Parag Singla · Prathosh AP |
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Poster
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Thu 9:00 |
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé · Alicia Curth · Ioana Bica · Mihaela van der Schaar |
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Poster
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Tue 14:00 |
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve |
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Poster
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Thu 9:00 |
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh T. Nguyen · Bertrand Thirion · Sylvain Arlot |
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Poster
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Thu 14:00 |
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson · Allan Raventós · andrew warrington · Scott Linderman |
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu |
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Panel
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Thu 9:15 |
Panel 5A-1: Precise Regret Bounds… & Bayesian inference via… Naitong Chen · Changlong Wu |
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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 14:00 |
Riemannian Diffusion Models Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville |
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Poster
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Thu 14:00 |
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal |
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Poster
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Tue 9:00 |
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks Konstantinos Pantazis · Avanti Athreya · Jesus Arroyo · William N Frost · Evan S Hill · Vince Lyzinski |