Ramakrishnan. K
You can call me "Rama" (pronunciation)
1st year PhD student,
Courant Institute of Mathematical Sciences,
New York University.
Email- kramakrishna@iisc.ac.in (and) rk4312@nyu.edu
Curriculum Vitae (Updated on Nov 1, 2021)
About Me
News
Welcome!
I am a PhD student at Courant Institute of Mathematical Sciences @ New York University, advised by Prof. Lakshmi Subramanian.
Earlier, I was an M. Tech (by Research) student at the Dept. of Computer Science & Automation (CSA) at the Indian Institute of Science (IISc), Bangalore, where I am happy to have been advised by Prof. Rahul Saladi and also to have collaborated with Prof. Siddharth Barman and Prof. Aditya Gopalan.
My research interests broadly lie in the Machine Learning fields of Online Learning (Multi-Armed Bandits), Game Theory, and Reinforcement Learning.
[Sept 2022] - I have joined NYU Courant for my PhD in Computer Science.
[May 2022] - In July-August, I am interning at INRIA, Lille with the Scool Team under Odalric-Ambrym Maillard.
[Sept 2021] - arXiv preprint of our paper "On Slowly-varying Non-stationary Bandits" is available!
[April 2021] - Our paper "Range Searching over Multi-Armed Bandits" is accepted @ IJCAI-21.
[July 2019] - Quit Microsoft as a Software Engineer & Joined IISc for an M. Tech (by Research) program.
RESEARCH
Publications & Preprints
On Slowly-varying Non-stationary Bandits
Ramakrishnan Krishnamurthy and Aditya Gopalan
Under submission [arXiv]Optimal Algorithms for Range Searching over Multi-Armed Bandits
Siddharth Barman, Ramakrishnan Krishnamurthy, and Saladi Rahul
at 30th International Joint Conference on Artificial Intelligence, IJCAI-2021 [arXiv]
Talks
Optimal Algorithms for Range Searching over Multi-Armed Bandits
5th Workshop on Geometry and Machine Learning (WaGoML), at SoCG-21 (Virtual) [slides]
12th EECS Students Research Symposium - IISc Bangalore (Virtual) - [YouTube]
16th Academic Research and Careers for Students Symposium (ARCS 2022) - PSG College of Technology, Coimbatore (Virtual)
Other
Reviewer for AISTATS-22 conference
Selected as a Top Reviewer - 10%
TA for Design and Analysis of Algorithms (Fall '21) -- Instructors: Rahul Saladi and Siddharth Barman
TA for Game Theory & Mechanism Design (Spring '22) -- Instructor: Y Narahari
Undergraduate Work
I was a lot more playful back then and worked on two awesome projects!
Design and Evaluation of Reinforcement Learning based AI agent: A case study in gaming
Ramakrishnan Krishnamurthy and Jayashree Padmanabhan
at 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR-2016 [paper]Carnatic Raga Detection in Instrumental Music