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Oral
Thu Jul 21 02:15 AM -- 02:35 AM (KST) @ Room 301 - 303
Bayesian Continuous-Time Tucker Decomposition
In PM: Bayesian Models and Methods
Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe
Spotlight
Thu Jul 21 02:35 AM -- 02:40 AM (KST) @ Room 301 - 303
Approximate Bayesian Computation with Domain Expert in the Loop
In PM: Bayesian Models and Methods
Ayush Bharti · Louis Filstroff · Samuel Kaski
Spotlight
Thu Jul 21 02:40 AM -- 02:45 AM (KST) @ Room 301 - 303
Discrete Probabilistic Inverse Optimal Transport
In PM: Bayesian Models and Methods
Wei-Ting Chiu · Pei Wang · Patrick Shafto
Spotlight
Thu Jul 21 02:45 AM -- 02:50 AM (KST) @ Room 301 - 303
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
In PM: Bayesian Models and Methods
Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes
Spotlight
Thu Jul 21 02:50 AM -- 02:55 AM (KST) @ Room 301 - 303
Streaming Inference for Infinite Feature Models
In PM: Bayesian Models and Methods
Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete
Spotlight
Thu Jul 21 02:55 AM -- 03:00 AM (KST) @ Room 301 - 303
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
In PM: Bayesian Models and Methods
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Oral
Thu Jul 21 03:00 AM -- 03:20 AM (KST) @ Room 301 - 303
Function-space Inference with Sparse Implicit Processes
In PM: Bayesian Models and Methods
Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato
Spotlight
Thu Jul 21 03:20 AM -- 03:25 AM (KST) @ Room 301 - 303
Variational Inference for Infinitely Deep Neural Networks
In PM: Bayesian Models and Methods
Achille Nazaret · David Blei
Spotlight
Thu Jul 21 03:25 AM -- 03:30 AM (KST) @ Room 301 - 303
Personalized Federated Learning via Variational Bayesian Inference
In PM: Bayesian Models and Methods
Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao
Spotlight
Thu Jul 21 03:30 AM -- 03:35 AM (KST) @ Room 301 - 303
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
In PM: Bayesian Models and Methods
Jiri Hron · Roman Novak · Jeffrey Pennington · Jascha Sohl-Dickstein
Spotlight
Thu Jul 21 03:35 AM -- 03:40 AM (KST) @ Room 301 - 303
Bayesian Deep Embedding Topic Meta-Learner
In PM: Bayesian Models and Methods
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
Spotlight
Thu Jul 21 03:40 AM -- 03:45 AM (KST) @ Room 301 - 303
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
In PM: Bayesian Models and Methods
Yohan Jung · Kyungwoo Song · Jinkyoo Park