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Hi! I am Sayantan Choudhury, a Postdoctoral Researcher at MBZUAI, hosted by Martin Takac and Mladen Kolar. I completed my PhD from the Department of Applied Mathematics and Statistics at Johns Hopkins University, under the supervision of Nicolas Loizou. My research is in the area of Optimization and Machine Learning. My work analyses Extragradient Methods for solving structured non-convex problems and Federated Learning. I am also interested in adaptive methods and methods for solving large-scale linear equations. In Fall 2023, I was a research intern at MBZUAI, UAE, where I was working with Martin Takac on designing adaptive methods. Before coming to JHU, I completed my B.Stat and M.Stat from Indian Statistical Institute, Kolkata. During my Bachelors and Masters, I was involved in several research projects at the Indian Statistical Institute and the Centre for Science of Student Learning. After joining JHU, I completed my MSE in Applied Mathematics and Statistics with a concentration on Optimization. Email / CV / Google Scholar / Github / LinkedIn |
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TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou. Accepted at NeurIPS, 2025. |
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Sayantan Choudhury, Nicolas Loizou. Accepted at NeurIPS, 2025. |
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Anirban Chatterjee, Sayantan Choudhury, Rohan Hore. Under review. |
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Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtarik, Samuel Horvath, Martin Takac. Accepted at ICLR, 2025. |
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Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horvath, Martin Takac, Eduard Gorbunov. Accepted at NeurIPS, 2024. |
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Siqi Zhang*, Sayantan Choudhury*, Sebastian Stich, Nicolas Loizou. * Equal Contribution. Accepted at ICLR, 2024. |
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Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou. Accepted at NeurIPS, 2023. |
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I have worked as a Teaching Assistant for the following courses:
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I have served as a reviewer for the following conferences and journals. Conferences:
Journals:
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