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Linear Bandits with Rotting Rewards
Jan'23-May'23
Advisor: Prof. Arpan Chattopadhyay
Formulated the problem of rotting multi-armed bandits in linear reward setting. Developed an index algorithm exploiting the problem structure and demonstrated better performance empirically.
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Explorations in Machine Learning (Independent Study)
Aug'21-Nov'21
Extensively studied Tensor Factorization and its use in data compression and applied it in Minimal Complexity Machine to generate a faster and more interpretable pipeline. Also developed a Separability based Classification Loss function for Neural Networks and demonstrated results on MNIST for classification task with better separation.
Code
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LightGBM based Botnet Detection Tool (3rd Prize among 1200+ Participants in IIT Kanpur Hackathon)
Aug'20
Developed a Botnet Detection Tool on network packet capture data using Gradient Boosted Decision Tree based LightGBM implementing feature extraction, feature design and compared it with AdaBoost and Random Forest.
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