About me

Hi! I’m Muni, a PhD student in ECE at UW-Madison, advised by Prof. Varun Jog. My current research interests are in the theoretical aspects of machine learning, especially adversarial learning and its relation to optimal transport.

Previously, I have worked with Prof. Ambedkar Dukkipati in the Statistics and Machine Learning Group at IISc Bangalore. Before that, I was a software engineer at Samsung R&D Institute in Bangalore. I did my undergrad in Electrical Engineering at IIT Madras.

You can find my CV here.

Papers

  1. Muni Sreenivas Pydi and Varun Jog. “The Many Faces of Adversarial Risk.” Conference on Neural Information Processing Systems (NeurIPS), 2021.
  2. Muni Sreenivas Pydi and Varun Jog. “Adversarial Risk via Optimal Transport and Optimal Couplings.” IEEE Transactions on Information Theory, 2021.
  3. Muni Sreenivas Pydi and Varun Jog. “Adversarial Risk via Optimal Transport and Optimal Couplings.” International Conference on Machine Learning (ICML), 2020.
  4. Muni Sreenivas Pydi, and Vishnu Suresh Lokhande. “Active Learning with Importance Sampling.” NeurIPS Workshop on ML with Guarantees, 2019.
  5. Muni Sreenivas Pydi, Varun Jog, and Po-Ling Loh. “Graph-Based Ascent Algorithms for Function Maximization.” Communication, Control, and Computing (Allerton), 2018 56th Annual Allerton Conference on. IEEE, 2018.
  6. Muni Sreenivas Pydi, and Ambedkar Dukkipati. “On Consistency of Compressive Spectral Clustering.” 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018.
  7. Nagasubramanian, Karthik, and Muni Sreenivas Pydi. “Random access retransmission scheme for power limited nodes.” Communications (NCC), 2017 Twenty-third National Conference on. IEEE, 2017.
  8. Guha, Ashwin, Muni Sreenivas Pydi, Biswajit Paria, and Ambedkar Dukkipati. “Analytic Connectivity in General Hypergraphs.” arXiv preprint arXiv:1701.04548 (2017).