13 OATML Conference and Workshop papers at ICML 2020

Angelos Filos, Sebastian Farquhar, Tim G. J. Rudner, Lewis Smith, Lisa Schut, Tom Rainforth, Panagiotis Tigas, Pascal Notin, Andreas Kirsch, Clare Lyle, Joost van Amersfoort, Jishnu Mukhoti, Yarin Gal, 10 Jul 2020

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


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