Meetings/Workshops on Neural Networks and Artificial Intelligence, Machine Learning in Canada

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1
Advances in Stein’s Method and its Applications in Machine Learning and Optimization
11 Apr 2021 - 16 Apr 2021 • Banff Centre in Alberta, Canada
Organizer:
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
Abstract:
Recently a variety of state-of-the-art methods in machine learning and artificial intelligence have been developed motivated by techniques from Stein’s method, a successful tool from the field of probability theory. These methods have enabled efficient analysis of the large amounts of data being produced in several scientific fields, like neuroscience, information technology, and finance. Motivated by this success, there has been an ever increasing interest in exploring further connections between Stein’s method and machine learning. The focus of this workshop is to consolidate isolated efforts and develop a theoretically principled inferential and computational framework via Stein's method for analyzing increasingly complex models and data objects. This workshop is intended to bring together prominent and promising young and diverse researchers working on Stein’s method and machine learning, and to charter the path for future development in the field.
Event listing ID:
1364141
2
Workshop on Manifold and Graph-Based Learning
25 May 2021 - 28 May 2021 • The Fields Institute –Toronto, Ontario, Canada
Organizer:
The Fields Institute for Research in Mathematical Sciences
Event listing ID:
1385549
3
Workshop on Neural Networks and Deep Learning
07 Jun 2021 - 11 Jun 2021 • The Fields Institute –Toronto, Ontario, Canada
Organizer:
The Fields Institute for Research in Mathematical Sciences
Abstract:
Scheduled as part of the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis
Event listing ID:
1385874
4
IJCAI 2021 — 30th International Joint Conference on Artificial Intelligence
21 Aug 2021 - 26 Aug 2021 • Montreal, Canada
Event listing ID:
1396696
Event website:
5
Mathematical Statistics and Learning
28 Nov 2021 - 03 Dec 2021 • Banff Centre in Alberta, Canada
Organizer:
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
Abstract:
The workshop focuses on the novel mathematical challenges of statistics and machine learning. The spectacular success of machine learning in a wide range of applications opens many exciting theoretical challenges in a number of mathematical fields, including probability, statistics, combinatorics, optimization, and geometry. BIRS will bring together researchers of machine learning and mathematical statistics to discuss these problems. The principal topics include combinatorial statistics, online learning, and deep neural networks.
Event listing ID:
1364451


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Last updated: 20 December 2020