Applications Open now for May 2024 Batch | Applications Close: May 26, 2024 | Exam: Jul 07, 2024
Applications Open now for May 2024 Batch | Applications Close: May 26, 2024 | Exam: Jul 07, 2024
Degree Level Course
Sequential Decision Making
At the end of the course, students will be able to understand the differences between the various sequential decision making problems based on the type of feedback involved, recognize practical ML problems as sequential decision making problems whenever they are, learn about optimal algorithms for several sequential decision making settings, and apply the algorithms studied in the course to various practical sequential decision making scenarios.
12 weeks of coursework, weekly online assignments, 2 in-person invigilated quizzes, 1 in-person invigilated end term exam.
For details of standard course structure and assessments, visit
Academics
page.
WEEK 1
Introduction to Online Learning, Halving algorithm
WEEK 2
Online Machine Learning; Perceptron and Winnow
WEEK 3
Intro to Regret; Online learning with expert advice - Hedge algorithm
Assistant Professor,
Department of Computer Sciences & Engineering,
IIT Madras
I am currently an Assistant Professor at the Computer Science and Engineering department of IIT Madras. Prior to joining IIT Madras, I was a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore for three years. I earned my Ph.D from the Indian Institute of Science where I worked on 'Ranking from Pairwise Comparisons'. My research interests are in the areas of Machine learning, statistical learning theory with applications to education and healthcare.
