Event | When | Where | Deadline |
ICML 2022 |
39th International Conference on Machine Learning |
Jul 17, 2022 - Jul 23, 2022 |
Baltimore, United States |
Feb 3, 2022 (Jan 27, 2022) |
ICML 2021 |
International Conference on Machine Learning |
Jul 18, 2021 - Jul 24, 2021 |
Virtual |
Feb 4, 2021 (Jan 28, 2021) |
ICML 2020 |
37th International Conference on Machine Learning |
Jul 12, 2020 - Jul 18, 2020 |
Vienna, AUSTRIA |
Feb 6, 2020 (Jan 30, 2020) |
ICML 2019 |
36th International Conference on Machine Learning |
Jun 10, 2019 - Jun 15, 2019 |
Long Beach, CA, USA |
Jan 23, 2019 (Jan 18, 2019) |
ICML 2018 |
The 35th International Conference on Machine Learning |
Jul 10, 2018 - Jul 15, 2018 |
Stockholmsmässan, Stockholm SWEDEN |
Feb 9, 2018 |
ICML 2017 |
34th International Conference on Machine Learning |
Aug 6, 2017 - Aug 11, 2017 |
Sydney, Australia |
Feb 24, 2017 |
ICML 2015 |
International Conference on Machine Learning 2015 |
Jul 6, 2015 - Jul 11, 2015 |
Lille, France |
Feb 6, 2015 |
ICML 2010 |
The 27th International Conference on Machine Learning |
Jun 21, 2010 - Jun 24, 2010 |
Haifa, Israel |
Feb 1, 2010 |
ICML 2009 |
The 26th International Conference On Machine Learning |
Jun 14, 2009 - Jun 18, 2009 |
Montreal, Canada |
Jan 26, 2009 |
ICML 2008 |
International Conference on Machine Learning |
Jul 6, 2008 - Jul 9, 2008 |
Helsinki, Finland |
Feb 8, 2008 |
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Topics of interest include (but are not limited to):
General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, etc.)
Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
Learning Theory (bandits, game theory, statistical learning theory, etc.)
Optimization (convex and non-convex optimization, matrix/tensor methods, sparsity, etc.)
Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)
Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)
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