K. Lakshmanan

Orcid: 0000-0001-7139-0833

Affiliations:
  • Indian Institute of Technology Varanasi (BHU), India
  • Indian Institute of Science Bangalore, India (PhD 2012)


According to our database1, K. Lakshmanan authored at least 20 papers between 2011 and 2026.

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Timeline

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Bibliography

2026
Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning.
CoRR, March, 2026

2025
Computational Complexity of Finding Subgroups of a Given Order.
CoRR, March, 2025

Influence maximization independent of seed set size.
Oper. Res. Lett., 2025

2023
Proximal policy optimization based hybrid recommender systems for large scale recommendations.
Multim. Tools Appl., May, 2023

2022
An Unsupervised Software Fault Prediction Approach Using Threshold Derivation.
IEEE Trans. Reliab., 2022

Comment on "Federated Learning With Differential Privacy: Algorithms and Performance Analysis".
IEEE Trans. Inf. Forensics Secur., 2022

Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks.
IEEE Commun. Lett., 2022

A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things.
IEEE Access, 2022

2021
A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images.
ACM Trans. Internet Techn., 2021

CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density.
IEEE Trans. Fuzzy Syst., 2021

Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning.
Symmetry, 2021

Multi-Time Scale Smoothed Functional With Nesterov's Acceleration.
IEEE Access, 2021

2020
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer.
Inf. Sci., 2020

Beam Alignment for mmWave Using Non-Stationary Bandits.
IEEE Commun. Lett., 2020

A parameter-free affinity based clustering.
Appl. Intell., 2020

2017
Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization.
Comput. Optim. Appl., 2017

2016
Multiscale Q-learning with linear function approximation.
Discret. Event Dyn. Syst., 2016

2012
An Online Actor-Critic Algorithm with Function Approximation for Constrained Markov Decision Processes.
J. Optim. Theory Appl., 2012

A novel Q-learning algorithm with function approximation for constrained Markov decision processes.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints.
Proceedings of the Distributed Computing and Internet Technology, 2011


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