Hi I am Adit!
Adit Jain :).

I am pursuing my Ph.D. from Cornell, where I work 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. Here's the link to my 2 page resume. I did my Bachelor's at IIT Guwahati majoring in Electronics with a minor in CS. 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.
Blog
Decks
  • TMLR 2024 Controlling Federated Learning for Covertness, Adit Jain and Vikram Krishnamurthy
  • IEEE Control System Letters 2024 Structured Reinforcement Learning for Robust Federated Learning, Adit Jain and Vikram Krishnamurthy
  • Numerical Algebra, Control and Optimization, AIMSControlling stochastic gradient descent using stochastic approximation for robust distributed optimization, Adit Jain and Vikram Krishnamurthy
  • IEEE Journal of Selected Topics in Signal Processing Interpretable Deep Image Classification using Rationally Inattentive Utility Maximization
  • CDC 2024 - Identifying Hate Speech Peddlers in Online Platforms. A Bayesian Social Learning Approach for Large Language Model Driven Decision-Makers
  • IEEE WCNC 2024 Joint Antenna Selection and Beamforming for an IRS Aided IoT System
  • NCC 2022Low Complexity Passive Beamforming Algorithms for Intelligent Reflecting Surfaces with Discrete Phase-Shifts over OFDM Systems
  • Conference on Decision and Control
  • Summer Internship
  • Blip
  • CoronaNearMe
  • Google SOC