Publications

Pre-Prints

2024

  1. An Inverse Learning Paradigm for Controller Tuning Rules
    Braghadeesh Lakshminarayanan, Federico Dettù, Cristian Rojas, and Simone Formentin
    2024
  2. On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian Rojas
    2024

Conference Articles

2024

  1. ECC
    From Data to Control: A Two-Stage Simulation-Based Approach
    Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, and Cristian Rojas
    In Proceedings of the 2024 European Control Conference (ECC), 2024
    PDF Slides

2023

  1. IFAC WC
    A Unified Approach to Differentially Private Bayes Point Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2023 IFAC World Congress (IFAC WC), 2023
    arXiv PDF Slides
  2. IEEE CDC
    Minimax Two-Stage Gradient Boosting for Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2023 IEEE 62nd Conference on Decision and Control (CDC) (accepted for publication), 2023

2022

  1. IEEE CDC
    A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
    Braghadeesh Lakshminarayanan, and Cristian R. Rojas
    In 2022 IEEE 61st Conference on Decision and Control (CDC), 2022
    PDF Slides

2021

  1. NeurIPS
    Bandit Quickest Changepoint Detection
    Aditya Gopalan, Braghadeesh Lakshminarayanan, and Venkatesh Saligrama
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF