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Amber Srivastava
Amber Srivastava
Assistant Professor, Mechanical Engineering, IIT Delhi
Verified email at mech.iitd.ac.in - Homepage
Title
Cited by
Cited by
Year
Simultaneous facility location and path optimization in static and dynamic networks
A Srivastava, SM Salapaka
IEEE Transactions on Control of Network Systems 7 (4), 1700-1711, 2020
152020
On the persistence of clustering solutions and true number of clusters in a dataset
A Srivastava, M Baranwal, S Salapaka
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5000-5007, 2019
112019
Parameterized MDPs and reinforcement learning problems—A maximum entropy principle-based framework
A Srivastava, SM Salapaka
IEEE Transactions on Cybernetics 52 (9), 9339-9351, 2021
92021
A clustering approach to edge controller placement in software-defined networks with cost balancing
R Soleymanifar, ASC Beck, S Salapaka
IFAC-PapersOnLine 53 (2), 2642-2647, 2020
62020
Multiway k-cut in static and dynamic graphs: A maximum entropy principle approach
M Baranwal, A Srivastava, SM Salapaka
2019 IEEE 58th Conference on Decision and Control (CDC), 3948-3953, 2019
52019
Combined resource allocation and route optimization in multiagent networks: A scalable approach
A Srivastava, SM Salapaka
2017 American Control Conference (ACC), 3956-3961, 2017
42017
On the choice of number of superstates in the aggregation of Markov chains
A Srivastava, RK Velicheti, SM Salapaka
Pattern Recognition Letters 159, 181-188, 2022
22022
A Dual System-Level Parameterization for Identification from Closed-Loop Data
A Srivastava, M Yin, A Iannelli, RS Smith
2023 62nd IEEE Conference on Decision and Control (CDC), 4506-4511, 2023
12023
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains
A Srivastava, RK Velicheti, SM Salapaka
arXiv preprint arXiv:2010.05341, 2020
12020
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization
R Chen, A Srivastava, M Yin, RS Smith
arXiv preprint arXiv:2311.09019, 2023
2023
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework
A Srivastava, A Bayati, S Salapaka
arXiv preprint arXiv:2311.08342, 2023
2023
On Fulfilling the Exigent Need for Automating and Modernizing Logistics Infrastructure in India: Enabling AI-based Integration, Digitalization, and Smart Automation of …
S Shriyam, P Palkar, A Srivastava
arXiv preprint arXiv:2310.01077, 2023
2023
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint
A Bayati, A Srivastava, A Malvandi, H Feng, SM Salapaka
2023 American Control Conference (ACC), 3827-3832, 2023
2023
Once upon a time step: A closed-loop approach to robust MPC design
A Parsi, M Bartos, A Srivastava, S Gros, RS Smith
arXiv preprint arXiv:2303.11021, 2023
2023
Dynamic parameters in Sequential Decision Making
A Srivastava, SM Salapaka
Automatica 148, 110795, 2023
2023
Inequality Constraints in Facility Location and Related Problems
A Srivastava, SM Salapaka
2022 Eighth Indian Control Conference (ICC), 1-6, 2022
2022
Design of Experiments with Imputable Feature Data
RK Velicheti, A Srivastava, SM Salapaka
2022 Eighth Indian Control Conference (ICC), 25-30, 2022
2022
Time-Varying Parameters in Sequential Decision Making Problems
A Srivastava, SM Salapaka
arXiv preprint arXiv:2201.10273, 2022
2022
Parameterized sequential decision making problems
A Srivastava
University of Illinois at Urbana-Champaign, 2021
2021
Design of Experiments with Imputable Feature Data: An Entropy-Based Approach
RK Velicheti, A Srivastava, SM Salapaka
arXiv preprint arXiv:2103.15628, 2021
2021
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