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ORCIDAdvait Parulekar
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2020 – today
- 2024
[i9]Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai:
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR abs/2402.11639 (2024)- 2023
- [c5]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam
, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT 2023: 1914-1961 - [c4]Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai:
PAC Generalization via Invariant Representations. ICML 2023: 27378-27400 - [i8]Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai:
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2302.01217 (2023) - [i7]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR abs/2302.07920 (2023) - 2022
- [c3]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS 2022: 4723-4746 - [c2]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML 2022: 22203-22233 - [i6]Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai:
PAC Generalization via Invariant Representations. CoRR abs/2205.15196 (2022) - 2021
- [j1]Gregory Berkolaiko, Advait Parulekar:
Locating Conical Degeneracies in the Spectra of Parametric Self-adjoint Matrices. SIAM J. Matrix Anal. Appl. 42(1): 224-242 (2021) - [c1]Aditya Parulekar, Advait Parulekar, Eric Price:
L1 Regression with Lewis Weights Subsampling. APPROX-RANDOM 2021: 49:1-49:21 - [i5]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR abs/2105.01593 (2021) - [i4]Aditya Parulekar, Advait Parulekar, Eric Price:
L1 Regression with Lewis Weights Subsampling. CoRR abs/2105.09433 (2021) - [i3]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR abs/2109.05546 (2021) - 2020
- [i2]Gregory Berkolaiko, Advait Parulekar:
A quadratically convergent iterative scheme for locating conical degeneracies in the spectra of parametric self-adjoint matrices. CoRR abs/2001.02753 (2020) - [i1]Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. CoRR abs/2011.01016 (2020)
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