Khatam University Amphitheater
1.500.000 Tomans
Scholarships are available for strong resumes
July 5, 2022
Deadline Extended to July 7
Overview
In this summer school we study theoretical aspects of data science and machine learning. This area of research is a rich and vibrant field within theoretical computer science which draws from deep connections to statistics, geometry, and combinatorics.
Target Audience
This summer school is intended for motivated undergrad, graduate or postdoctoral students of mathematics or computer science. Each invited speaker gives a mini-course ranging from introductory material to advanced topics and current research.
Poster Session
During the summer school there will be a poster session for attendees to present their ongoing projects. Posters must be in English, A1 size (in portrait orientation). A PDF version of the poster must be submitted by July 5 as part of the online registration process. The summer school scientific committee selects a number of posters for presentation and notifies the authors on July 8. The selected posters must be printed beforehand and brought along by the author on the first day of the school (July 11). The winner of the best poster award will be announced at the closing ceremony.
Speakers
Mohammadtaghi Hajiaghayi
Professor
University of Maryland at College Park
Kasra Alishahi
Assistant Professor
Sharif university of technology
Mojtaba Tefagh
Assistant Professor
Sharif university of technology
Masoud Seddighin
Assistant Professor
Tehran institute for advanced studies
Sharareh Alipour
Assistant Professor
Tehran institute for advanced studies
Schedule
08:00 – 08:30 On-site Registration
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Mojtaba Tefagh (Optimization for Machine Learning)
10:30 – 11:00 Break
11:00 – 12:30 Mojtaba Tefagh (Optimization for Machine Learning)
12:30 – 14:00 Lunch
14:00 – 15:30 Mojtaba Tefagh (Optimization for Machine Learning)
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Kasra Alishahi (Online Learning and Bandit Problems)
10:30 – 11:00 Break
11:00 – 12:30 Kasra Alishahi (Online Learning and Bandit Problems)
12:30 – 14:00 Lunch
18:00 – 20:00 Social Event
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Sharareh Alipour (Clustering)
10:30 – 11:00 Break
11:00 – 12:30 Sharareh Alipour (Clustering)
12:30 – 14:00 Lunch
14:00 – 15:30 Masoud Seddighin (Mechanism Design)
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Masoud Seddighin (Mechanism Design)
10:30 – 11:00 Break
11:00 – 12:30 Masoud Seddighin (Mechanism Design)
12:30 – 14:00 Lunch
14:00 – 15:30 Panel (Research in Algorithmic Aspects of Data Science)
15:30 – 16:00 School Closing
08:00 – 08:30 On-site Registration
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Mojtaba Tefagh (Optimization for Machine Learning)
10:30 – 11:00 Break
11:00 – 12:30 Mojtaba Tefagh (Optimization for Machine Learning)
12:30 – 14:00 Lunch
14:00 – 15:30 Mojtaba Tefagh (Optimization for Machine Learning)
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Kasra Alishahi (Online Learning and Bandit Problems)
10:30 – 11:00 Break
11:00 – 12:30 Kasra Alishahi (Online Learning and Bandit Problems)
12:30 – 14:00 Lunch
18:00 – 20:00 Social Event
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Sharareh Alipour (Clustering)
10:30 – 11:00 Break
11:00 – 12:30 Sharareh Alipour (Clustering)
12:30 – 14:00 Lunch
14:00 – 15:30 Masoud Seddighin (Mechanism Design)
08:30 – 09:00 Light Refreshment
09:00 – 10:30 Masoud Seddighin (Mechanism Design)
10:30 – 11:00 Break
11:00 – 12:30 Masoud Seddighin (Mechanism Design)
12:30 – 14:00 Lunch
14:00 – 15:30 Panel (Research in Algorithmic Aspects of Data Science)
15:30 – 16:00 School Closing