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|Acronym=COLT 2018 | |Acronym=COLT 2018 | ||
|Title=31st Annual Conference on Learning Theory | |Title=31st Annual Conference on Learning Theory | ||
| + | |Ordinal=31 | ||
| + | |In Event Series=Event Series:COLT | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2018/07/06 | ||
| + | |End Date=2018/07/09 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
| + | |Venue=KTH: Q | ||
| + | |City=Stockholm | ||
| + | |Region=Stockholms län | ||
| + | |Country=Country:SE | ||
| + | |Academic Field=Machine Learning; Computational Learning Theory | ||
| + | |Official Website=https://www.learningtheory.org/colt2018/ | ||
| + | |Submission Link=https://easychair.org/conferences/?conf=colt2018 | ||
|Type=Conference | |Type=Conference | ||
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|has program chair=Sebastien Bubeck, Philippe Rigollet | |has program chair=Sebastien Bubeck, Philippe Rigollet | ||
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|has Proceedings Link=http://proceedings.mlr.press/v75/ | |has Proceedings Link=http://proceedings.mlr.press/v75/ | ||
|has Recording Link=https://www.youtube.com/playlist?list=PLCHBdlWR7RYzMjoGTatLItEhisi5sBNFh | |has Recording Link=https://www.youtube.com/playlist?list=PLCHBdlWR7RYzMjoGTatLItEhisi5sBNFh | ||
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|pageEditor=User:Curator 89 | |pageEditor=User:Curator 89 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
| + | {{Event Deadline | ||
| + | |Notification Deadline=2018/05/02 | ||
| + | |Submission Deadline=2018/02/16 | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Association for Computational Learning | ||
| + | }} | ||
| + | {{Event Metric | ||
| + | |Number Of Submitted Papers=335 | ||
| + | |Number Of Accepted Papers=91 | ||
| + | |Number Of Accepted Short Papers=91 | ||
| + | }} | ||
| + | {{S Event}} | ||
The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics | The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics | ||
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*Learning with system constraints: e.g. privacy, memory or communication budget | *Learning with system constraints: e.g. privacy, memory or communication budget | ||
*Learning from complex data: e.g., networks, time series, etc. | *Learning from complex data: e.g., networks, time series, etc. | ||
| − | *Learning in other settings: e.g. social, economic, and game-theoretic | + | *Learning in other settings: e.g. social, economic, and game-theoretic |
==Submissions== | ==Submissions== | ||
==Important Dates== | ==Important Dates== | ||
| Line 50: | Line 63: | ||
*Conference: July 6-9, 2018 (welcome reception on the 5th) | *Conference: July 6-9, 2018 (welcome reception on the 5th) | ||
==Committees== | ==Committees== | ||
| − | * Program committee | + | *Program committee |
Jacob Abernethy (Georgia Tech) | Jacob Abernethy (Georgia Tech) | ||
Shivani Agarwal (University of Pennsylvania) | Shivani Agarwal (University of Pennsylvania) | ||
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*Publication chair | *Publication chair | ||
Vianney Perchet (ENS Paris-Saclay) | Vianney Perchet (ENS Paris-Saclay) | ||
| − | *Sponsorship | + | *Sponsorship Chairs |
Satyen Kale (Google) | Satyen Kale (Google) | ||
Robert Schapire (Microsoft Research) | Robert Schapire (Microsoft Research) | ||
*Local Arrangements chair | *Local Arrangements chair | ||
Alexandre Proutiere (KTH) | Alexandre Proutiere (KTH) | ||
Latest revision as of 09:17, 24 May 2023
Deadlines
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| Notification |
Metrics
Submitted Papers
335
Accepted Papers
91
Accepted Short Papers
91
Venue
KTH: Q, Stockholm, Stockholms län, Sweden
The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics
Topics
- Design and analysis of learning algorithms
- Statistical and computational complexity of learning
- Optimization methods for learning
- Unsupervised, semi-supervised, online and active learning
- Interactions with other mathematical fields
- Interactions with statistical physics
- Artificial neural networks, including deep learning
- High-dimensional and non-parametric statistics
- Learning with algebraic or combinatorial structure
- Geometric and topological data analysis
- Bayesian methods in learning
- Planning and control, including reinforcement learning
- Learning with system constraints: e.g. privacy, memory or communication budget
- Learning from complex data: e.g., networks, time series, etc.
- Learning in other settings: e.g. social, economic, and game-theoretic
Submissions
Important Dates
- Paper submission deadline: February 16, 2018, 11:00 PM EST
- Author feedback: April 9-15, 2018
- Author notification: May 2, 2018
- Conference: July 6-9, 2018 (welcome reception on the 5th)
Committees
- Program committee
Jacob Abernethy (Georgia Tech) Shivani Agarwal (University of Pennsylvania) Shipra Agrawal (Columbia University) Alexandr Andoni (Columbia University) Pranjal Awasthi (Rutgers University) Francis Bach (INRIA)
- Program chairs
Sebastien Bubeck (Microsoft Research) Philippe Rigollet (MIT)
- Publication chair
Vianney Perchet (ENS Paris-Saclay)
- Sponsorship Chairs
Satyen Kale (Google) Robert Schapire (Microsoft Research)
- Local Arrangements chair
Alexandre Proutiere (KTH)
