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Affinity Workshop
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Mon 9:20 |
Deep Neural Network Uncertainty Estimation with Stochastic Inputs for Robust Aerial Navigation Policies Fabio Arnez Yagualca · Huascar Espinoza · François Terrier |
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Spotlight
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Tue 6:25 |
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation Aurick Zhou · Sergey Levine |
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Spotlight
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Tue 7:45 |
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis |
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Poster
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Tue 9:00 |
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation Aurick Zhou · Sergey Levine |
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Poster
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Tue 9:00 |
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis |
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Spotlight
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Wed 5:40 |
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann |
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Poster
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Wed 9:00 |
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann |
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Spotlight
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Thu 5:45 |
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse |
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Poster
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Thu 9:00 |
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse |
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Spotlight
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Thu 17:35 |
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin · Kostas Daniilidis · Sergey Levine |
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Spotlight
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Thu 20:35 |
Optimal Thompson Sampling strategies for support-aware CVaR bandits Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard |
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Poster
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Thu 21:00 |
Optimal Thompson Sampling strategies for support-aware CVaR bandits Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard |