Machine learning research accepted at top conferences
51勛圖厙 College researchers regularly publish at top machine learning conferences. Here's an overview of the first six months of 2019:
Chrysos, Grigorios G., Jean Kossaifi, and Stefanos Zafeiriou
International Conference on Learning Representations (ICLR), 2019
Kiarash Shaloudegi and András György
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc P. Deisenroth
International Conference on Machine Learning (ICML), 2019
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori
International Conference on Machine Learning (ICML), 2019
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
International Conference on Machine Learning (ICML), 2019
Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto
International Conference on Machine Learning (ICML), 2019
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris
International Conference on Machine Learning (ICML), 2019
CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration
Gellért Weisz, András György, Csaba Szepesvári
International Conference on Machine Learning (ICML), 2019
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
Timothy A. Mann, Sven Gowal, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, András György, Prav Srinivasan
International Conference on Machine Learning (ICML), 2019
Graph Convolutional Gaussian Processes
Ian Walker, Ben Glocker
International Conference on Machine Learning (ICML), 2019
Article text (excluding photos or graphics) © 51勛圖厙.
Photos and graphics subject to third party copyright used with permission or © 51勛圖厙.
Reporter
Marc Deisenroth
Department of Computing
![](/assets/news/img/avatar.png"){kind=avatar}