Chaitanya Amballa

241, Coordinated Science Laboratory

I am a graduate student of the SyNRG lab in the ECE department at University of Illinois Urbana-Champaign (UIUC), advised by Prof. Romit Roy Choudhury.

Prior to joining UIUC, I worked as a Researcher at TCS Research, Hyderabad for about 3 years. I completed my undergraduate in Electrical Engineering from Indian Insitute of Technology Tirupati (IIT Tirupati) in 2019. I've had the pleasure to work with Prof. K. P. Naveen for my undergraduate thesis.

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Research

My research interests are broadly in the mix of reinforcement learning, signal processing and online learning. I'm interested in understanding and developing reliable decisions with guarantees for various real-world problems. Although, I'm driven by the application of these technologies to solve real-world problems, I'm fairly interested in understanding and contributing on the theoretical front to these applications. Currently, I'm working on generating 2D floor plans of indoor environments using trajectory and WiFi data.

Courses

  • ECE 549: Computer Vision (Spring 2023)
  • ECE 534: Random Processes (Spring 2023)
  • ECE 586: MDPs and Reinforcement Learning (Fall 2022)
  • ECE 490: Intoduction to Optimization (Fall 2022)
  • Publications

    [UAI'22] Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets

    Sanjay P Bhat, Chaitanya Amballa

    Uncertainty in Artificial Intelligence (UAI), 2022

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    [AAAI'21] Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features

    Chaitanya Amballa, Manu K Gupta, Sanjay P Bhat

    Association for the Advancement of Artificial Intelligence (AAAI), 2021

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    [COMSNETS'21] Coexistence of LTE-Unlicensed and WiFi: A Reinforcement Learning Framework

    K P Naveen, Chaitanya Amballa

    Uncertainty in Artificial Intelligence (UAI), 2022

    PDF

    [ICML'20] Learning Algorithms for Dynamic Pricing: A Comparative Study

    Chaitanya Amballa, Narendhar Gugulothu, Manu K Gupta, Sanjay P Bhat

    ICML Workshop on Real World Experiment Design and Active Learning

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    [SPCOM'20] Coexistence of LTE-Unlicensed and WiFi: Optimization and Game-Theoretic Frameworks

    Chaitanya Amballa, K P Naveen

    Uncertainty in Artificial Intelligence (UAI), 2022

    PDF

    Misc

    B.Tech Thesis: PDF