Amber Srivastava

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Combinatorial Optimization

Reinforcement Learning

Maximum Entropy

Top Venues

IEEE Trans. Cybern.

Publications

Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka
Sparse Linear Regression with Constraints: A Flexible Entropy-Based Framework. ECC (2024)
Amber Srivastava, Srinivasa M. Salapaka
Dynamic parameters in Sequential Decision Making. Autom. 148 (2023)
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC (2023)
Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint. ACC (2023)
Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith
Once upon a time step: A closed-loop approach to robust MPC design. CoRR (2023)
Shaurya Shriyam, Prashant Palkar, Amber Srivastava
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. CoRR (2023)
Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework. CoRR (2023)
Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR (2023)
Amber Srivastava, Raj K. Velicheti, Srinivasa M. Salapaka
On the choice of number of superstates in the aggregation of Markov chains. Pattern Recognit. Lett. 159 (2022)
Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint. CoRR (2022)
Amber Srivastava, Srinivasa M. Salapaka
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle-Based Framework. IEEE Trans. Cybern. 52 (9) (2022)
Amber Srivastava, Srinivasa M. Salapaka
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle Based Framework. CoRR (2020)
Amber Srivastava, Raj K. Velicheti, Srinivasa M. Salapaka
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains. CoRR (2020)
Amber Srivastava, Srinivasa M. Salapaka
Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. AAAI (2019)
Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing. CoRR (2019)
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CDC (2019)
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CoRR (2019)
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. CoRR (2018)
Amber Srivastava, Srinivasa M. Salapaka
Combined resource allocation and route optimization in multiagent networks: A scalable approach. ACC (2017)