Workshop
Bayesian Deep Learning
Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling

Fri Dec 13th 08:00 AM -- 06:45 PM @ West Exhibition Hall C
Event URL: http://bayesiandeeplearning.org »

Extending on the workshop’s success from the past 3 years, this workshop will study the developments in the field of Bayesian deep learning (BDL) over the past year. The workshop will be a platform to host the recent flourish of ideas using Bayesian approaches in deep learning, and using deep learning tools in Bayesian modelling. The program includes a mix of invited talks, contributed talks, and contributed posters. Future directions for the field will be debated in a panel discussion.

Speakers:
* Andrew Wilson
* Deborah Marks
* Jasper Snoek
* Roger Grosse
* Chelsea Finn
* Yingzhen Li
* Alexander Matthews

Workshop summary:
While deep learning has been revolutionary for machine learning, most modern deep learning models cannot represent their uncertainty nor take advantage of the well studied tools of probability theory. This has started to change following recent developments of tools and techniques combining Bayesian approaches with deep learning. The intersection of the two fields has received great interest from the community, with the introduction of new deep learning models that take advantage of Bayesian techniques, and Bayesian models that incorporate deep learning elements. Many ideas from the 1990s are now being revisited in light of recent advances in the fields of approximate inference and deep learning, yielding many exciting new results.

08:00 AM Opening remarks (Talk)
08:05 AM Invited talk (Talk)
08:25 AM Contributed talk (Talk)
08:40 AM Invited talk 2 (Talk) Alexander Matthews
09:00 AM Contributed talk 2 (Talk)
09:20 AM Poster spotlights (Spotlight)
09:35 AM Poster session (Poster Session)
Sebastian Farquhar, Erik Daxberger, Andreas Look, Matt Benatan, Ruiyi Zhang, Marton Havasi, Fredrik Gustafsson, James A Brofos, Nabeel Seedat, Micha Livne, Ivan Ustyuzhaninov, Adam Cobb, Felix D McGregor, Patrick McClure, Tim R. Davidson, Gaurush Hiranandani, Sanjeev Arora, Masha Itkina, Didrik Nielsen, Will Harvey, Matias Valdenegro-Toro, Stefano Peluchetti, Riccardo Moriconi, Tianyu Cui, Vaclav Smidl, Taylan Cemgil, Jack Fitzsimons, He Zhao, , mariana vargas vieyra, Apratim Bhattacharyya, Rahul Sharma, Geoffroy Dubourg-Felonneau, Jonathan Warrell, Slava Voloshynovskiy, Mihaela Rosca, Jiaming Song, Andrew Ross, Homa Fashandi, Ruiqi Gao, Hooshmand Shokri Razaghi, Joshua Chang, Tim Xiao, Vanessa Boehm, Giorgio Giannone, Ranganath Krishnan, Joe Davison, Arsenii Ashukha, Jeremiah Liu, Sheldon Huang, Evgenii Nikishin, Sunho Park, Nilesh Ahuja, Mahesh Subedar, , Artyom Gadetsky, Jhosimar Arias Figueroa, Tim G. J. Rudner, Waseem Aslam, Adrián Csiszárik, John Moberg, Ali Hebbal, Kathrin Grosse, Pekka Marttinen, Bang An, Hlynur Jónsson, Samuel Kessler, Abhishek Kumar, Michael Figurnov, , Steindor Saemundsson, Ari Heljakka, Dániel Varga, Niklas Maximilian Heim, Simone Rossi, Max Laves, Waseem Gharbieh, Nick Roberts, Luis Armando Pérez Rey, Matthew Willetts, Prithvi Chakrabarty, Sumedh Ghaisas, Carl Shneider, Wray Buntine, Kamil Adamczewski, Xavier Gitiaux, Suwen Lin, Hao Fu, Gunnar Rätsch, Aidan Gomez, Erik Bodin, Dinh Phung, Lennart Svensson, Juliano Tusi Amaral Laganá Pinto, Milad Alizadeh, Jianzhun Du, Kevin Murphy, Beatrix Benkő, Shashaank Vattikuti, Jonathan Gordon, Chris Kanan, Sontje Ihler, Darin Graham, Michael Teng, Louis Kirsch, Tomas Pevny, Taras Holotyak
10:35 AM Invited talk 3 (Talk)
10:55 AM Contributed talk 3 (Talk)
11:10 AM Invited talk 4 (Talk)
11:30 AM Contributed talk 4 (Talk)
01:20 PM Invited talk 5 (Talk)
01:40 PM Contributed talk 5 (Talk)
01:55 PM Invited talk 6 (Talk)
02:10 PM Contributed talk 6 (Talk)
02:30 PM Poster session 2 (Poster session)
03:30 PM Contributed talk 7 (Talk)
03:50 PM Invited talk 7 (Talk)
04:05 PM Contributed talk 8 (Talk)
04:30 PM Panel session <span> <a href="#"></a> </span>
05:30 PM Poster session 3 (Poster session)

Author Information

Yarin Gal (University of Oxford)
Jose Miguel Hernández-Lobato (University of Cambridge)
Christos Louizos (University of Amsterdam)
Eric Nalisnick (University of Cambridge)
Zoubin Ghahramani (Uber and University of Cambridge)

Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge, where he leads the Machine Learning Group. He studied computer science and cognitive science at the University of Pennsylvania, obtained his PhD from MIT in 1995, and was a postdoctoral fellow at the University of Toronto. His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU's Machine Learning Department for over 10 years. His current research interests include statistical machine learning, Bayesian nonparametrics, scalable inference, probabilistic programming, and building an automatic statistician. He has held a number of leadership roles as programme and general chair of the leading international conferences in machine learning including: AISTATS (2005), ICML (2007, 2011), and NIPS (2013, 2014). In 2015 he was elected a Fellow of the Royal Society.

Kevin Murphy (Google)
Max Welling (University of Amsterdam / Qualcomm AI Research)

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