Hi, I am Adit!
I am a Ph.D. student at School of Electrical and Computer Engineering at Cornell University, where I work with Prof. Vikram Krishnamurthy on problems related to reinforcement learning (structured stochastic optimal control & bandits), distributed optimization and
stochastic games.
I recently interned at Adobe Research, where I worked on developing high dimensional sparse bandits algorithms for efficient data annotation, and proved regret bounds for the same.
I am interested in applications in large language models and federated learning.
Recently, I have been working on the problem of controlling networks of large language models.
Here's the link to my 2 page resume. I did my Bachelor's at IIT Guwahati with a major in Electronics and Communication Engineering and a minor in Computer Science. I love to read all kinds of books , learn new topics and skills, discuss and debate, and also play racquet sports like Badminton & Squash.
Here's the link to my 2 page resume. I did my Bachelor's at IIT Guwahati with a major in Electronics and Communication Engineering and a minor in Computer Science. I love to read all kinds of books , learn new topics and skills, discuss and debate, and also play racquet sports like Badminton & Squash.
Following are some of my works, with some sections incomplete and under construction.
Publications
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arXiv preprint Networks of LLMs
Information Diffusion and Preferential Attachment in a Network of Large Language Models, A Jain, V Krishnamurthy, Y Zhang -
IEEE Access 2025 Networks of LLMs
Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models, A Jain, V Krishnamurthy -
CDC 2024Networks of LLMs
Identifying Hate Speech Peddlers in Online Platforms. A Bayesian Social Learning Approach for Large Language Model Driven Decision-Makers, A Jain, V Krishnamurthy -
NACO 2025 Controlling Federated Learning
Controlling stochastic gradient descent using stochastic approximation for robust distributed optimization, A Jain, V Krishnamurthy -
IEEE Control System Letters 2024 Controlling Federated Learning
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization, A Jain, V Krishnamurthy -
TMLR 2024Controlling Federated Learning
Controlling Federated Learning for Covertness, Adit Jain and Vikram Krishnamurthy -
arXiv preprintBandits
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits, A Jain, S Pal, S Choudhary, R Narayanam, V Krishnamurthy -
Asilomar 2024 Bandits
Bimodal Bandits: Max-Mean Regret Minimization, A Jain, S Bhatt, V Krishnamurthy, A Koppel -
IEEE JSTSP 2024
Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization, K Pattanayak, V Krishnamurthy, A Jain -
IEEE WCNC 2024
Joint Antenna Selection and Beamforming for an IRS Aided IoT System, A Jain, R Sarvendranath, S Kashyap -
NCC 2022
Low complexity passive beamforming algorithms for intelligent reflecting surfaces with discrete phase-shifts over OFDM systems, A Jain, D Rahul, S Kashyap, R Sarvendranath
