siddharth mitra


email:

about me

I’m a 4th year PhD student in Computer Science at Yale University, where I’m fortunate to be advised by Andre Wibisono.

I’m broadly interested in sampling, variational inference, and optimization.

Prior to this, I was an undergraduate and masters student at the Chennai Mathematical Institute, India (while also spending some time at the Indian Institute of Science, Bangalore) where I worked with Aditya Gopalan, Himanshu Tyagi, and KV Subrahmanyam.

papers and preprints

On Independent Samples Along the Langevin Diffusion and the Unadjusted Langevin Algorithm [arXiv]
(α-β) Jiaming Liang, Siddharth Mitra, and Andre Wibisono

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning [arXiv]
(α-β) Amin Karbasi, Nikki Kuang, Yian Ma, and Siddharth Mitra
ICML 2023.

Submodular + Concave [arXiv]
Siddharth Mitra, Moran Feldman, and Amin Karbasi
NeurIPS 2021.

On Adaptivity in Information-constrained Online Learning [arXiv]
Siddharth Mitra and Aditya Gopalan
AAAI 2020. Short version at OPT 2019 [OPT Poster].