K. Lakshmanan

20 papers Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning.
CoRR
K. Lakshmanan
2025 J jnl
Computational Complexity of Finding Subgroups of a Given Order.
CoRR
K. Lakshmanan
2025 J jnl
Influence maximization independent of seed set size.
Oper. Res. Lett.
K. Lakshmanan
2023 J jnl
Proximal policy optimization based hybrid recommender systems for large scale recommendations.
Multim. Tools Appl.
Vaibhav Padhye, K. Lakshmanan, Amrita Chaturvedi
2022 J jnl
A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things.
IEEE Access
Sumit Kumar, Ruchir Gupta, K. Lakshmanan, Vipin Maurya
2022 J jnl
An Unsupervised Software Fault Prediction Approach Using Threshold Derivation.
IEEE Trans. Reliab.
Rakesh Kumar, Amrita Chaturvedi, K. Lakshmanan
2022 J jnl
Comment on "Federated Learning With Differential Privacy: Algorithms and Performance Analysis".
IEEE Trans. Inf. Forensics Secur.
Krishnan Rajkumar, Antriksh Goswami, K. Lakshmanan, Ruchir Gupta
2022 J jnl
Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks.
IEEE Commun. Lett.
Abhinav Sharma, K. Lakshmanan, Ruchir Gupta, Atul Gupta
2021 J jnl
A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images.
ACM Trans. Internet Techn.
Abhinav Kumar, Sanjay Kumar Singh, K. Lakshmanan, Sonal Saxena, Sameer Shrivastava
2021 J jnl
CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density.
IEEE Trans. Fuzzy Syst.
Abhinav Kumar, Sanjay Kumar Singh, Sonal Saxena, Amit Kumar Singh, Sameer Shrivastava, K. Lakshmanan, Neeraj Kumar, Raj Kumar Singh
2021 J jnl
Multi-Time Scale Smoothed Functional With Nesterov's Acceleration.
IEEE Access
Abhinav Sharma, K. Lakshmanan, Ruchir Gupta, Atul Gupta
2021 J jnl
Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning.
Symmetry
Abhinav Sharma, Ruchir Gupta, K. Lakshmanan, Atul Gupta
2020 J jnl
A parameter-free affinity based clustering.
Appl. Intell.
Bhaskar Mukhoty, Ruchir Gupta, K. Lakshmanan, Mayank Kumar
2020 J jnl
Beam Alignment for mmWave Using Non-Stationary Bandits.
IEEE Commun. Lett.
Ruchir Gupta, K. Lakshmanan, Abhay Kumar Sah
2020 J jnl
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer.
Inf. Sci.
Abhinav Kumar, Sanjay Kumar Singh, Sonal Saxena, K. Lakshmanan, Arun Kumar Sangaiah, Himanshu Chauhan, Sameer Shrivastava, Raj Kumar Singh
2017 J jnl
Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization.
Comput. Optim. Appl.
K. Lakshmanan, Shalabh Bhatnagar
2016 J jnl
Multiscale Q-learning with linear function approximation.
Discret. Event Dyn. Syst.
Shalabh Bhatnagar, K. Lakshmanan
2012 — conf
A novel Q-learning algorithm with function approximation for constrained Markov decision processes.
Allerton Conference
K. Lakshmanan, Shalabh Bhatnagar
2012 J jnl
An Online Actor-Critic Algorithm with Function Approximation for Constrained Markov Decision Processes.
J. Optim. Theory Appl.
Shalabh Bhatnagar, K. Lakshmanan
2011 Misc conf
Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints.
ICDCIT
K. Lakshmanan, Shalabh Bhatnagar