Academic Services

Teaching Assistant for Graduate Courses

Graduate Course, IISc, 2024

• Pattern Recognition and Neural Network(E2-233): This is an introductory course for machine learning and deep learning. The course contents can be found here.
• Advanced Deep Representation Learning(E2-333): This course is an advance course in representation learning. This course broadly covers recent research works in generative modeling, continual learning and meta learning. The course contents can be found here.

Conformal Prediction and Learning

Graduate Course, IISc, 2024

This is a self-taught course. The topics are designed by myself mostly following the book: Algorithmic learning in a random world by V.Vovk, A.Gammerman, and G.Shafer.

Concentration Inequalities

Graduate Course, IISc, 2024

Lecture notes consists of materials from my coursework at IISc.

Multivariable Calculus

Graduate Course, ISI & IISc, 2023

Lecture notes consists of materials from my coursework both at ISI and IISc.

Information Theoretic Learning

Graduate Course, IISc, 2023

This is a self-taught course. The topics are designed by myself mostly following the book: Information Theory: From Coding to Learning by Y. Polyanskiy and Y. Wu..

Measure Theory

Graduate Course, IISc, 2023

Lecture notes consists of materials from my coursework at IISc.

Differentially Private Learning

Graduate Course, IISc, 2023

This is a self prepared notes during my research years on Differential Privacy.

Online Prediction and Learning

Graduate Course, IISc, 2022

Lecture notes consists of materials from my coursework at IISc.

Detection and Estimation Theory

Graduate Course, IISc, 2022

Lecture notes consists of materials from my coursework both at IISc.

Real Analysis

Graduate Course, ISI & IISc, 2022

Lecture notes consists of materials from my coursework both at ISI and IISc.