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I am a first-year PhD student at the Operations Research Center at MIT. I graduated with a dual degree (B.Tech + M.Tech) from the Department of
Electrical Engineering at the Indian Institute of Technology Madras, Chennai where I was fortunate to be advised by Abhishek Sinha. My primary research interests are optimization, machine
learning theory, and online learning.
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[2023.09] Started PhD at MIT! [2022.09] Our paper on online subset selection is out. [2022.07] Graduated from IIT Madras! [2022.02] Our paper on distributed online optimization was accepted at ACC 2022. [2022.01] Our paper on k-experts problem was accepted at AISTATS 2022. |
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Sourav Sahoo, Siddhant Chaudhary, Samrat Mukhopadhyay, and Abhishek Sinha Preprint |
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Sourav Sahoo, Anand Gokhale and Rachel Kalpana Kalaimani American Control Conference (ACC), Atlanta, United States, June 2022. Paper / BibTex |
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Samrat Mukhopadhyay, Sourav Sahoo, and Abhishek Sinha International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, March 2022. Paper / Code / BibTex |
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Amish Mittal*, Sourav Sahoo*, Arnhav Datar*, Juned Kadiwala*, Hrithwik Shalu and Jimson Mathew International Workshop on Data Mining in Bioinformatics (BIOKDD), Virtual, August 2021. ArXiv / BibTex *Authors contributed equally |
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