You do not have permission to edit this page, for the following reason:
The action you have requested is limited to users in the group: Users.
Add another
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)
Save page Show preview Cancel