Bandit Quickest Changepoint Detection. - Aditya Gopalan; Braghadeesh Lakshminarayanan; Venkatesh Saligrama (NeurIPS, 2021)

A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation. - Braghadeesh Lakshminarayanan; Cristian R. Rojas (CDC, 2022)

Minimax Two-Stage Gradient Boosting for Parameter Estimation. - Braghadeesh Lakshminarayanan; Cristian R. Rojas (CDC, 2023)

Unraveling the Control Engineer's Craft with Neural Networks. - Braghadeesh Lakshminarayanan; Federico Dettù; Cristian R. Rojas; Simone Formentin (CoRR, 2023)

From Data to Control: A Two-Stage Simulation-Based Approach. - Federico Dettù; Braghadeesh Lakshminarayanan; Simone Formentin; Cristian R. Rojas (ECC, 2024)

Inverse supervised learning of controller tuning rules. - Braghadeesh Lakshminarayanan; Federico Dettù; Cristian R. Rojas; Simone Formentin (Autom., 2025)

Data-Driven Estimation of Structured Singular Values. - Margarita A. Guerrero; Braghadeesh Lakshminarayanan; Cristian R. Rojas (IEEE Control. Syst. Lett., 2025)

Fine Tuning a Data-Driven Estimator. - Braghadeesh Lakshminarayanan; Cristian R. Rojas (CoRR, 2025)

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior. - Yibo Shi; Braghadeesh Lakshminarayanan; Cristian R. Rojas (CoRR, 2025)