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126 Results
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Poster
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Tue 15:30 |
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems Lukas Köhs · Bastian Alt · Heinz Koeppl |
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Poster
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Wed 15:30 |
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection Wenchao Chen · Long Tian · Bo Chen · Liang Dai · Zhibin Duan · Mingyuan Zhou |
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Poster
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Wed 15:30 |
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks Hadeel Soliman · Lingfei Zhao · Zhipeng Huang · Subhadeep Paul · Kevin Xu |
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Poster
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Tue 15:30 |
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie · Jonas Rothfuss · Andreas Krause |
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Spotlight
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Wed 11:25 |
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao |
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Poster
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Thu 15:00 |
A Unified View on PAC-Bayes Bounds for Meta-Learning Arezou Rezazadeh |
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Poster
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Thu 15:00 |
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann |
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Poster
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Wed 15:30 |
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao |
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Spotlight
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Tue 11:50 |
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes Aravind Reddy · Ryan A. Rossi · Zhao Song · Anup Rao · Tung Mai · Nedim Lipka · Gang Wu · Eunyee Koh · Nesreen K Ahmed |
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Oral
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Thu 8:00 |
Random Gegenbauer Features for Scalable Kernel Methods Insu Han · Amir Zandieh · Haim Avron |
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Spotlight
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Tue 14:20 |
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang · Nikolay Malkin · Zhen Liu · Alexandra Volokhova · Aaron Courville · Yoshua Bengio |
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Poster
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Thu 15:00 |
Random Gegenbauer Features for Scalable Kernel Methods Insu Han · Amir Zandieh · Haim Avron |