ICML2020 Accepted Workshop Proposals

Petar Veličković, Michael M. Bronstein, Andreea Deac, William L. Hamilton, Jessica B. Hamrick, Milad Hashemi, Stefanie Jegelka, Jure Leskovec, Renjie Liao, Federico Monti, Yizhou Sun, Kevin Swersky, Rex Ying and Marinka Žitnik. Graph Representation Learning and Beyond (GRL+)
Boi Faltings, Yang Liu, David Parkes, Goran Radanovic and Dawn Song. Incentives in Machine Learning
Balaji Lakshminarayanan, Dan Hendrycks, Jasper Snoek, Tom Dietterich and Sharon Li. ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning
Céline Castets-Renard, Sylvain Cussat-Blanc and Laurent Risser. Law & Machine Learning
Maryam Majzoubi, Anna Choromanska, Yashoteja Prabhu and John Langford. Workshop on eXtreme Classification: Theory and Applications
Angela Zhou, David Madras, Deborah Raji, Smitha Milli, Bogdan Kulynych and Richard Zemel. Participatory Approaches to Machine Learning
Workshop Comp Bio, Elham Azizi, Sandhya Prabhakaran, Alexander Anderson, Abdoulaye Diallo, Julia Vogt, Jill Galagher, Yubin Xie, Wesley Tansey, Cassandra Burdziak, Delasa Aghamirzaie, Amine Remita and Mark Robertson-Tessi. ICML 2020 Workshop on Computational Biology
Arthur Szlam, Katja Hofmann, Ruslan Salakhutdinov, Noboru Kuno, William Guss, Kavya Srinet and Brandon Houghton. Workshop on Learning in Artificial Open Worlds
Nikolaos Vasiloglou, Rachel Cummings, Glen Weyl, Paris Koutris, Meg Young, Ruoxi Jia, David Dao and Bo Waggoner. Economics of privacy and data labor
Julie Josse, Jes Frellsen, Pierre-Alexandre Mattei and Gael Varoquaux. Learning with Missing Values
Frank Hutter, Joaquin Vanschoren, Marius Lindauer, Charles Weill, Katharina Eggensperger and Matthias Feurer. 7th ICML Workshop on Automated Machine Learning (AutoML 2020)
Creighton Heaukulani, Konstantina Palla, Katherine Heller and Niranjani Prasad. ICML 2020 Workshop on Healthcare Systems, Population Health, and the role of health-tech
Zelda Mariet, Michal Derezinski and Mike Gartrell. Negative Dependence and Submodularity: Theory and Applications in Machine Learning
Danielle Belgrave, Stephanie Hyland, Charles Onu, Ernest Mwebaze, Nicholas Furnham and Neil Lawrence. Machine Learning for Global Health
Emma Brunskill, Thodoris Lykouris, Max Simchowitz, Wen Sun and Mengdi Wang. Theoretical Foundations of Reinforcement Learning
Olivia Choudhury, Nathalie Baracaldo, Ramesh Raskar, Gauri Joshi, Han Yu and Shiqiang Wang. Federated Learning for Privacy-Preserving Data Analysis
Sungjin Ahn, Adam Kosiorek, Jessica B. Hamrick, Sjoerd van Steenkiste and Yoshua Bengio. Object-Oriented Learning: Perception, Representation, and Reasoning
Mirco Ravanelli, Dmitriy Serdyuk, Devon Hjelm, Bhuvana Ramabhadran and Titouan Parcollet. Self-supervision in Audio and Speech
Wei-Lun Chao, Rowan McAllister, Adrien Gaidon, Li Erran Li and Sven Kreiss. Workshop on AI for Autonomous Driving (AIAD)
Wojciech Samek, Andreas Holzinger, Ruth Fong, Taesup Moon and Klaus-Robert Müller. XXAI: Extending Explainable AI Beyond Deep Models and Classifiers
Shagun Sodhani, Sarath Chandar, Balaraman Ravindran and Doina Precup. ICML 2020 Lifelong Learning Workshop Proposal
Erik Schmidt, Oriol Nieto, Fabien Gouyon, Yves Raimond, Katherine Kinnaird and Gert Lanckriet. Machine Learning for Media Discovery
Albert Berahas, Amir Gholami, Tasos Kyrillidis, Michael Mahoney and Fred Roosta. Beyond first order methods in machine learning systems
Alessandra Tosi, Nathan Korda and Neil Lawrence. Challenges in Deploying and Monitoring Machine Learning Systems
Jessica Forde, Jesse Dodge, Mayoore Jaiswal, Rosanne Liu, Ryan Lowe, Joelle Pineau and Yoshua Bengio. MLRetrospectives: A Venue for Self-Reflection in ML Research
Subhashini Venugopalan, Michael Brenner, Scott Linderman and Been Kim. ML Interpretability for Scientific Discovery
Nan Rosemary Ke, Anirudh Goyal, Stefan Bauer, Jane Wang and Bernhard Schölkopf. Workshop on Generalization in Reinforcement Learning
Chin-Wei Huang, David Krueger, Rianne van den Berg, George Papamakarios, Chris Cremer, Ricky Tian Qi Chen and Danilo Rezende. INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
Haytham Fayek, Arslan Chaudhry, David Lopez-Paz, Eugene Belilovsky, Jonathan Schwarz, Marc Pickett, Rahaf Aljundi, Razvan Pascanu and Sayna Ebrahimi. Workshop on Continual Learning
Jian Tang, Le Song, Jure Leskovec, Renjie Liao, Yujia Li, Sanja Filder, Richard Zemel and Ruslan Salakhutdinov. Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond
Ilija Bogunovic, Willie Neiswanger and Yisong Yue. Real World Experiment Design and Active Learning
Kush Varshney, Adrian Weller, Alice Xiang, Amit Dhurandhar, Been Kim, Dennis Wei and Umang Bhatt. 5th ICML Workshop on Human Interpretability in Machine Learning (WHI)
Shanghang Zhang, Xin Wang, Fisher Yu, Jiajun Wu and Trevor Darrell. 2nd ICML Workshop on Human in the Loop Learning (HILL)
Jelena Luketina, Nantas Nardelli, Jakob Foerster, Victor Zhong, Jacob Andreas, Edward Grefenstette and Tim Rocktäschel. 1st Workshop on Language in Reinforcement Learning (LaReL)