AIS - Statistical Learning Theory (2025)
Speakers and Syllabus
|
Name of the Speaker (with affiliation) |
No. of Lectures and Tutorials |
Detailed Syllabus |
|
Dr. Minerva Mukhopadhyay |
2L + 4T |
Basics of Linear Algebra, Introduction to Bayesian Methods |
|
Dr. Debraj Das |
2L + 2T |
Probability Distributions, Some Useful Inequalities, Concentration Inequalities, Metrics and Divergences Between Probability Distributions |
|
Dr. Subhajit Dutta |
2L + 4T |
Introduction to Statistical Learning, An Introduction to R and Python |
|
Dr. Soham Sarkar |
4L + 4T |
Primer on Functional Analysis and Probability on Hilbert Spaces, Introduction to Functional Data |
|
Dr. Anirvan Chakraborty |
2L + 2T |
Classification of Functional Data |
|
Dr. Shyamal K. De |
2L + 2T |
Clustering of Functional Data |
|
Dr. Satyaki Mazumder |
1L + 4T |
Bayesian Machine Learning |
|
Dr. Moumita Das |
3L + 3T |
Bayesian Machine Learning |
|
Dr. Gunjan Kumar |
3L + 3T |
Distribution Testing: Uniformity Testing, Identity Testing, and Equivalence Testing |
|
Dr. Sutanu Gayen |
3L + 3T |
Online Learning, Optimization |
Each lecture (L) will be of duration 2 hours. All 6 speakers (apart from the 3 organizers) are each delivering atleast 6 hours of lectures. Each tutorial (T) will be of duration 1 hour.
References:
- The Elements of Statistical Learning by Jerome Friedman, Robert Tibshirani and Trevor Hastie (2008).
- Foundations of Machine Learning by Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar, MIT, (2018).
- Probability: Theory and Examples by Rick Durrett (2019).
- Pattern Recognition and Machine Learning (PRML) by Christopher Bishop Springer, 2007.
- Machine Learning: A Probabilistic Perspective (MLAPP) by Kevin Murphy, MIT Press, 2012.
- Gaussian Processes for Machine Learning by Carl Rasmussen and Christopher Williams (2006).
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators by Tailen Hsing and Randall Eubank. Wiley Series in Probability and Statistics (2015).
- Understanding Machine Learning: From Theory to Algorithms by Shalev-Shwartz, Shai, and Shai Ben-David. Cambridge University Press, 2014.
- Prediction, Learning and Games by Cesa-Bianchi, Nicolo, and Gábor Lugosi. Cambridge University Press, 2006.
- A Survey on Distribution Testing: Your Data is Big. But is it Blue? by Canonne, Clément L. Theory of Computing (2020): 1-100.
- Testing that Distributions are Close by Batu, Tugkan, et al. Proceedings 41st Annual Symposium on Foundations of Computer Science. IEEE, 2000.
Time Table
Time-Table (with names of speakers and course associates/tutors):
|
Day |
Date |
Lecture 1 (9:30–11:30) |
Tea (11:30–12:00) |
Tutorial 1 (12:00-1.00) |
Lunch (1:00–2:30) |
Lecture 2 (2:30–4:30) |
Tea (4.30-5:00) |
Tutorial 2 (5:00-6:00) |
Snacks (6:00-6:15) |
|
|
|
(name of the speaker) |
|
(name of the speaker |
|
(name of the speaker) |
|
(name of the speaker |
|
|
Mon |
12.05.25 |
MM |
|
MM+BB2 |
|
SD1 |
|
SD1+SD2 |
|
|
Tues |
13.05.25 |
DD |
|
DD+MC |
|
DD |
|
DD+MC |
|
|
Wed |
14.05.25 |
SD1 |
|
SD1+AD |
|
MM |
|
MM+AD |
|
|
Thu |
15.05.25 |
SS |
|
SS+BB1 |
|
SS |
|
SS+BB1 |
|
|
Fri |
16.05.25 |
SS |
|
SS+BB1 |
|
SS |
|
SS+BB1 |
|
|
Sat |
17.05.25 |
AC |
|
AC+SC |
|
AC |
|
AC+SC |
|
|
SUNDAY: OFF |
|||||||||
|
Mon |
19.05.25 |
SKD |
|
SKD+SC |
|
SKD |
|
SKD+SC |
|
|
Tues |
20.05.25 |
MD |
|
MD+DG |
|
MD |
|
MD+SM |
|
|
Wed |
21.05.25 |
SM |
|
SM+DG |
|
MD |
|
MD+DG |
|
|
Thu |
22.05.25 |
SG |
|
SG+MM |
|
SG |
|
SG+MM |
|
|
Fri |
23.05.25 |
SG |
|
SG+SD1 |
|
GK |
|
GK+SD1 |
|
|
Sat |
24.05.25 |
GK |
|
GK+SM |
|
GK |
|
GK+SM |
|
Full forms for the abbreviations of speakers:
DD: Debraj Das
MM: Minerva Mukhopadhyay
GK: Gunjan Kumar
SM: Satyaki Mazumder
SD1: Subhajit Dutta
SG: Sutanu Gayen
MD: Moumita Das
SKD: Shyamal Krishna De
AC: Anirvan Chakraborty
SS: Soham Sarkar
Tutorial Assistants:
|
S. No. |
Name |
Affiliation |
No. of Tutorials |
|
1 |
Bilol Banerjee (BB1) |
a PhD student at ISI Kolkata |
4 |
|
2 |
Mayukh Choudhury (MC) |
a PhD student at IIT Bombay |
2 |
|
3 |
Sourav Chakrabarty (SC) |
a PhD student at ISI Kolkata |
4 |
|
4 |
Debika Ghosh (DG) |
a PhD student at IIM Udaipur |
3 |
|
5 |
Annesha Deb (AD) |
a PhD student at IIT Kanpur |
2 |
|
6 |
Subhajit Das (SD2) |
a PhD student at IISER Kolkata |
1 |
|
7 |
Bishal Bhunia (BB2) |
a PhD student at IISER Kolkata |
1 |