Scholar
Advait Parulekar
Google Scholar ID: 9u8SExAAAAAJ
Graduate Student
Machine Learning
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Citations
165
H-index
6
i10-index
6
Publications
10
Co-authors
13
list available
Contact
Email
advaitp@utexas.edu
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Publications
1 items
Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
2025
Cited
0
Resume (English only)
Academic Achievements
Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness (NeurIPS 2024, Spotlight)
InfoNCE Loss Provably Learns Cluster-Preserving Representations (COLT 2023)
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
PAC Generalization via Invariant Representations (ICML 2023)
Improved Algorithms for Misspecified Linear Markov Decision Processes (AISTATS 2022)
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation (ICML 2022)
L1 Regression with Lewis Weights Subsampling (RANDOM 2021)
Stochastic Linear Bandits with Protected Subspace
Locating conical degeneracies in the spectra of parametric self-adjoint matrices (SIAM Journal on Matrix Analysis and Applications, Volume 42)
Honorable Mention, 2018 William Lowell Putnam Math Contest
USA Physics Olympiad Team Member, 2015
Indian Math Olympiad Training Camp, 2013
Co-authors
13 total
Karthikeyan Shanmugam
Research Scientist, Google Deepmind
Liam Collins
Snap
Aryan Mokhtari
UT Austin
R. Srikant
University of Illinois at Urbana-Champaign
Co-author 5
Litu Rout
University of Texas at Austin
Sujay Sanghavi
Professor, Electrical and Computer Engineering, University of Texas, Austin
Constantine Caramanis
Professor of Electrical and Computer Engineering, UT Austin
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