Advait Parulekar

According to our database, Advait Parulekar authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo.

Advait Parulekar, Litu Rout, Karthikeyan Shanmugam, Sanjay Shakkottai

CoRR, August, 2025

2024

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness.

Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models.

Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai

CoRR, 2023

PAC Generalization via Invariant Representations.

Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai

Proceedings of the International Conference on Machine Learning, 2023

InfoNCE Loss Provably Learns Cluster-Preserving Representations.

Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation.

Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant

Proceedings of the International Conference on Machine Learning, 2022

Improved Algorithms for Misspecified Linear Markov Decision Processes.

Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Locating Conical Degeneracies in the Spectra of Parametric Self-adjoint Matrices.

Gregory Berkolaiko, Advait Parulekar

SIAM J. Matrix Anal. Appl., 2021

L1 Regression with Lewis Weights Subsampling.

Aditya Parulekar, Advait Parulekar, Eric Price

Proceedings of the Approximation, 2021

2020

Stochastic Linear Bandits with Protected Subspace.

Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai

CoRR, 2020

A quadratically convergent iterative scheme for locating conical degeneracies in the spectra of parametric self-adjoint matrices.

Gregory Berkolaiko, Advait Parulekar

CoRR, 2020