Braghadeesh Lakshminarayanan

According to our database, Braghadeesh Lakshminarayanan authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior.

Yibo Shi, Braghadeesh Lakshminarayanan, Cristian R. Rojas

CoRR, April, 2025

Fine Tuning a Data-Driven Estimator.

Braghadeesh Lakshminarayanan, Cristian R. Rojas

CoRR, April, 2025

Data-Driven Estimation of Structured Singular Values.

Margarita A. Guerrero, Braghadeesh Lakshminarayanan, Cristian R. Rojas

IEEE Control. Syst. Lett., 2025

Inverse supervised learning of controller tuning rules.

Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas, Simone Formentin

Autom., 2025

2024

From Data to Control: A Two-Stage Simulation-Based Approach.

Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, Cristian R. Rojas

Proceedings of the European Control Conference, 2024

2023

Unraveling the Control Engineer's Craft with Neural Networks.

Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas, Simone Formentin

CoRR, 2023

Minimax Two-Stage Gradient Boosting for Parameter Estimation.

Braghadeesh Lakshminarayanan, Cristian R. Rojas

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation.

Braghadeesh Lakshminarayanan, Cristian R. Rojas

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Bandit Quickest Changepoint Detection.

Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021