Advait Parulekar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Function Approximation

Decision Processes

Image Inpainting

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR (2024)
Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR (2023)
Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT (2023)
Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR (2023)
Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai
PAC Generalization via Invariant Representations. CoRR (2022)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS (2022)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML (2022)
Aditya Parulekar, Advait Parulekar, Eric Price
L1 Regression with Lewis Weights Subsampling. CoRR (2021)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR (2021)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR (2021)
Aditya Parulekar, Advait Parulekar, Eric Price
L1 Regression with Lewis Weights Subsampling. APPROX-RANDOM (2021)
Gregory Berkolaiko, Advait Parulekar
Locating Conical Degeneracies in the Spectra of Parametric Self-adjoint Matrices. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
Gregory Berkolaiko, Advait Parulekar
A quadratically convergent iterative scheme for locating conical degeneracies in the spectra of parametric self-adjoint matrices. CoRR (2020)
Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai
Stochastic Linear Bandits with Protected Subspace. CoRR (2020)