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In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD1 None
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
In Oral 4 Track 2: Probabilistic Methods
Jae Oh Woo
[ Slides] 
In-Person Oral presentation / top 5% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD1 None
SAM as an Optimal Relaxation of Bayes
In Oral 4 Track 2: Probabilistic Methods
Thomas Möllenhoff · Mohammad Emtiyaz Khan
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD1 None
Generative Augmented Flow Networks
In Oral 4 Track 2: Probabilistic Methods
Ling Pan · Dinghuai Zhang · Aaron Courville · Longbo Huang · Yoshua Bengio
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD1 None
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
In Oral 4 Track 2: Probabilistic Methods
Yingda Yin · Yang Wang · He Wang · Baoquan Chen
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
In Oral 4 Track 2: Probabilistic Methods
Zihao Xu · Guang-Yuan Hao · Hao He · Hao Wang
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD1 None
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
In Oral 4 Track 2: Probabilistic Methods
Mohammadsajad Abavisani · David Danks · Sergey Plis
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
In Oral 4 Track 2: Probabilistic Methods
Wenbo Gong · Joel Jennings · Cheng Zhang · Nick Pawlowski