Vishwak Srinivasan

About me: I am a PhD student in the EECS department at the Massachusetts Institute of Technology, advised by Ashia Wilson. Previously, I was a student in the Machine Learning Department at Carnegie Mellon University from where I earned a Master of Science, and completed my undergraduate studies at the Indian Institute of Technology Hyderabad where I majored in Computer Science and Engineering and graduated with honors.

My Research Interests: Currently, I'm interested in problems around optimisation and sampling, optimal transport and am broadly interested in statistical learning theory as well.

Publications: A list of all papers that I've authored / co-authored can be found on my Google Scholar page. Recent papers / preprints:

• Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm with Andre Wibisono and Ashia Wilson (link, accepted at COLT 2024).

Teaching: I have been a TA for the following subjects:

• 6.7810 (prev. 6.438) - Algorithms for Inference, Fall 2023, at MIT, and
• 10-725 - Convex Optimisation, Spring 2020, Fall 2020, at Carnegie Mellon University.

Other professional service:

• EECS Communication Lab Fellow (2024-).
• Reviewer for conferences: NeurIPS 2021, ICML 2022, NeurIPS 2022 (Top Reviewer), ICML 2023, NeurIPS 2023 (Top Reviewer), ICML 2024, NeurIPS 2024.
• Affiliation with student bodies: EECS Graduate Student Association (2022-2023), MIT Graduate Student Council as EECS Department Representative (2022-2024), Ashdown House Coffee Hour Committee (2021-2023).
• Served on the MIT EECS PhD Admissions Committee (2024), CMU MLD MS Admissions Committee (2020).

Contact information: My e-mail address is vishwaks at mit dot edu. Often, you'll find me in person inside D740, Building 32, MIT.

Random musings: I like doing recreational maths, and below is a (new) listing of random mathematical facts that I come across / derive.

• Bounds on a recurrence relation (link)
• Bounds on a nested sum (link)