Invited Talk(s)
Invited Talk(s)
Dissecting Human Preferences for Human-AI Alignment. Mila 2024 [Slides]
CS M146: Machine Learning, Spring 2022, UCLA.
MATH 31A/AL: Differential and Integral Calculus, Fall 2021-Winter 2022, UCLA.
MTL106: Introduction to Probability Theory and Stochastic Processes, Spring 2020, IIT Delhi.
UCLA MS Students
Dipti Sahu: UCLA (Fall 2022)
Sri Keerthi: UCLA (Winter 2023)
Michael Sherman: UCLA (Winter 2023)
Abirami Anbumani: UCLA (Spring 2023)
Harini Suresh: UCLA (Spring 2023)
Rohan Wadhawan: UCLA (Summer-Fall 2023)
UCLA Undergrad Students (Research Projects)
Seongbin Park: UCLA (Fall 2022 - Winter 2023)
Siddharth Nandy: UCLA (Fall 2022 - Winter 2023)
Zichun Liao: UCLA (Fall 2023)
Clark Peng: UCLA (Fall 2024-)
List of books that I liked reading in the past few years:
The Book Of Why: The New Science of Cause and Effect, Judea Pearl and Dana Mackenzie
Educated, Tara Westover (Highly Recommended!)
Thinking, Fast and Slow, Daniel Kahneman (Highly Recommended!)
The Gene, Siddhartha Mukherjee
The Silent Patient, Alex Michaelides (Highly Recommended!)
The Rosie Project, Effect, and Result, Graeme Simsion (Highly Recommended!)
Shoe Dog, Phil Knight
Kafka on the Shore, Haruki Murakami
Flash Boys, Michael Lewis (Highly Recommended!)
1984, George Orwell
The Spy and The Traitor, Ben MacInTyre (Highly Recommended!)
All the Light We Cannot See, Anthony Doerr
The Choices, Shivshankar Menon
Chronicles on Consciousness, Debanjan Bhowmik
Dark Matter, Blake Crouch (Highly Recommended!)
Hail Mary, Andy Weir (Highly Recommended!)
The Book of Lost Names, Kristin Harmel (Highly Recommended!)
The House in the Pines, Ana Reyes
The Space Between Worlds, Micaiah Johnson (Highly Recommended!)
The Lost Symbol, Dan Brown
Digital Fortress, Dan Brown (Highly Recommended!)
The Boy, the Mole, the Fox and the Horse, Charlie Mackesy
Daughters of Shandong, Eve J. Chung (Highly Recommended!)
Ashima Suvarna, Hritik Bansal. Examining Gender Bias in Languages with Grammatical Gender, Winter 2022, UCLA.
Amitabha Bagchi, ..., Hritik Bansal, et al. Efficient approximation of Kernel Functions, April 2020, IIT Delhi.