AIS - Statistical Learning Theory (2025)
Venue: IISER, Kolkata
Dates: 12 May 2025 to 24 May 2025
Convener(s)
Name: | Dr. Satyaki Mazumder | Dr. Minerva Mukhopadhyay | Dr. Subhajit Dutta |
Mailing Address: | Assistant Professor Department of Mathematics and Statistics (DoMS), IISER Kolkata, Mohanpur 741246. |
Assistant Professor (On lien from Indian Institute of Technology (IIT) Kanpur) |
Associate Professor (on lien from IIT Kanpur) |
Email: | satyaki at iiserkol.ac.in amisatyaki at gmail.com |
minervam at iitk.ac.in minervamukherjee at gmail.com |
duttas at iitk.ac.in tijahbus.isi at gmail.com |
This AIS will introduce participants to some aspects of statistical learning theory (SLT) which lies at the intersection of probability, statistics, computer science and optimization. Broadly, SLT studies the performance of statistical methods and algorithms for making predictions based on training data. In the first week of the AIS, we will start with some basics of linear algebra, analysis, probability, statistical theory (supervised and unsupervised learning) and Bayesian statistics. These topics will serve as a preparatory for more advanced topics to be discussed in the second half of the first week. In the second week of the AIS, we will then delve into more specialized topics like functional data analysis followed by Bayesian machine learning, distribution testing as well as online learning. All these topics are motivated from research topics on SLT, and we plan to take them forward in a future workshop.