Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks

no code implementations • 17 May 2022 • Naresh Manwani, Mudit Agarwal

When $t+d_t>T$, we consider that the feedback for the $t$-th round is missing.

Learning Multiclass Classifier Under Noisy Bandit Feedback

no code implementations • 5 Jun 2020 • Mudit Agarwal, Naresh Manwani

This paper addresses the problem of multiclass classification with corrupted or noisy bandit feedback.

A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic

no code implementations • 16 Mar 2020 • Rohan Pandey, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Lovedeep Singh Dhingra, Himanshu Sharma, Chirag Jain, Kanav Bhagat, Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Rishabh Jalan, Akshat Wadhwa, Ayush Garg, Vihaan Misra, Yashwin Agrawal, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi

Conclusion: We conclude that a multi-pronged machine learning application delivering vernacular bite-sized audios and conversational AI is an effective approach to mitigate health misinformation.

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