Ritabrata Ray

I am a second year PhD student in the Machine Learning Department at Carnegie Mellon University, where I am fortunate to be advised by Prof. Pradeep Ravikumar. I am interested in all theoretical aspects of Machine Learning. Recently, I have been working on representation learning.

I graduated with a Masters of Science from Cornell University where I was advised by Prof. Lang Tong. Prior to Cornell, I completed my undergraduate education from Indian Institute of Technology Kharagpur (IIT Kharagpur), India. Here, I was advised by Prof. Rogers Mathew and I used to work on problems in extremal combinatorics.

I have an Erdös number of 3.

Publications

Sample-Optimal Zero-Violation Safety For Continuous Control
Ritabrata Ray, Yorie Nakahira, Soummya Kar.
In submission, 2024.

Modular and Fractional L-Intersecting Families of Vector Spaces
Rogers Mathew, Tapas Kumar Mishra, Ritabrata Ray, Shashank Srivastava.
The Electronic Journal of Combinatorics, 2022.
Fractional Cross Intersecting Families
Rogers Mathew, Ritabrata Ray, Shashank Srivastava.
Graphs and Combinatorics, 2020.

Teaching

PHIL 2310/COGST 2310: Introduction to Deductive Logic - Spring 2021 (Undergraduate Logic course offered by the Philosophy School)
Prof. Alexander Kocurek, Cornell University
CS 2382/ ORIE 2382: Urban Analytics - Fall 2020 (Undergraduate Data Analytics course focusing on urban data)
Prof. Qiaomin Xie, Cornell University
ECE 3100: Introduction to Probability and Inference for Random Signals and Systems - Spring 2020 (Undergraduate Probability course offered by the ECE department)
Prof. Kevin Tang, Cornell University