13 OATML Conference and Workshop papers at ICML 2020
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We are glad to share the following 13 papers by OATML authors and collaborators to be presented at this ICML conference and workshops: (time zone conversion)
Inter-domain Deep Gaussian Processes
Tim G. J. Rudner, Dino Sejdinovic, Yarin Gal
Where: ICML main conference (talk and paper)
When (live chat):
Thu Jul 16 07:00 PM – 07:45 PM & Fri Jul 17 06:00 AM – 06:45 AM (UTC)
Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
Where: ICML main conference (talk and paper)
When (live chat):
Tue Jul 14 10:00 PM – 10:45 PM & Wed Jul 15 11:00 AM – 11:45 AM (UTC)
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
Where: ICML main conference (talk and paper)
When (live chat):
Tue Jul 14 08:00 PM – 08:45 PM & Wed Jul 15 08:00 AM – 08:45 AM (UTC)
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
Where: ICML main conference (talk and paper)
When (live chat):
Wed Jul 15 05:00 PM – 05:45 PM & Thu Jul 16 06:00 AM – 06:45 AM (UTC)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth
Where: ICML main conference (talk and paper)
When (live chat):
Wed Jul 15 07:00 PM – 07:45 PM & Thu Jul 16 08:00 AM – 08:45 AM (UTC)
Capsule networks: A generative probabilistic perspective
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk
Spotlight talk
Where: Object Oriented Learning Workshop
When (Spotlight):
Fri Jul 17 3:15pm UTC
When (Poster):
Fri Jul 17 3:30pm UTC
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Spotlight talk
Where: ICML AI for Autonomous Driving Workshop
When (Live Q&A; Spotlight videos accessible on-demand):
Fri Jul 17 15:40 - 17:25 UTC /
21:15 - 22:00 UTC
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
Spotlight talk
Where: ICML AI for Autonomous Driving Workshop
When (Live Q&A; Spotlight videos accessible on-demand):
Fri Jul 17 15:40 - 17:25 UTC /
21:15 - 22:00 UTC
Principled Uncertainty Estimation for High Dimensional Data
Pascal Notin, José Miguel Hernández-Lobato and Yarin Gal
Where: ICML Workshop on Uncertainty & Robustness in Deep Learning
When: Fri Jul 17 4-5pm UTC
You Need Only Uncertain Answers: Data Efficient Multilingual Question Answering
Zhihao Lyu, Danier Duolikun, Bowei Dai, Yuan Yao, Pasquale Minervini, Tim Z. Xiao and Yarin Gal
Where: ICML Workshop on Uncertainty & Robustness in Deep Learning
When: Fri Jul 17 4-5pm UTC
Scalable Training with Information Bottleneck Objectives
Andreas Kirsch, Clare Lyle and Yarin Gal
Where: ICML Workshop on Uncertainty & Robustness in Deep Learning
When: Fri Jul 17 4-5pm UTC
Learning CIFAR-10 with a Simple Entropy Estimator Using Information Bottleneck Objectives
Andreas Kirsch, Clare Lyle and Yarin Gal
Where: ICML Workshop on Uncertainty & Robustness in Deep Learning
When: Fri Jul 17 4-5pm UTC
On using Focal Loss for Neural Network Calibration
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip Torr and Puneet Dokania
Spotlight talk
Where: ICML Workshop on Uncertainty & Robustness in Deep Learning
When: Fri Jul 17 3.10-4pm UTC Spotlight / 4-5pm UTC Posters