Amber Srivastava

According to our database, Amber Srivastava authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Closed-loop identification of stabilized models using dual input-output parameterization.

Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith

Eur. J. Control, 2024

Sparse Linear Regression with Constraints: A Flexible Entropy-Based Framework.

Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka

Proceedings of the European Control Conference, 2024

2023

Dynamic parameters in Sequential Decision Making.

Amber Srivastava, Srinivasa M. Salapaka

Autom., February, 2023

On Fulfilling the Exigent Need for Automating and Modernizing Logistics Infrastructure in India: Enabling AI-based Integration, Digitalization, and Smart Automation of Industrial Parks and Robotic Warehouses.

Shaurya Shriyam, Prashant Palkar, Amber Srivastava

CoRR, 2023

Once upon a time step: A closed-loop approach to robust MPC design.

Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith

CoRR, 2023

A Dual System-Level Parameterization for Identification from Closed-Loop Data.

Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith

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

Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint.

Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka

Proceedings of the American Control Conference, 2023

2022

Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle-Based Framework.

Amber Srivastava, Srinivasa M. Salapaka

IEEE Trans. Cybern., 2022

On the choice of number of superstates in the aggregation of Markov chains.

Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka

Pattern Recognit. Lett., 2022

2020

Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks.

Amber Srivastava, Srinivasa M. Salapaka

IEEE Trans. Control. Netw. Syst., 2020

On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains.

Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka

CoRR, 2020

2019

A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing.

Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka

CoRR, 2019

Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach.

Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset.

Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Combined resource allocation and route optimization in multiagent networks: A scalable approach.

Amber Srivastava, Srinivasa M. Salapaka

Proceedings of the 2017 American Control Conference, 2017