Advait Parulekar

16 papers A* 3A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo. CoRR Advait Parulekar, Litu Rout, Karthikeyan Shanmugam, Sanjay Shakkottai
2024	A*	`conf`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. NeurIPS Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2024	J	`jnl`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2023	J	`jnl`	A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai
2023	A*	`conf`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2023	J	`jnl`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2022	A	`conf`	Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2022	J	`jnl`	PAC Generalization via Invariant Representations. CoRR Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai
2022	A*	`conf`	Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2021	J	`jnl`	Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2021	—	`conf`	L1 Regression with Lewis Weights Subsampling. APPROX-RANDOM Aditya Parulekar, Advait Parulekar, Eric Price
2021	J	`jnl`	L1 Regression with Lewis Weights Subsampling. CoRR Aditya Parulekar, Advait Parulekar, Eric Price
2021	J	`jnl`	Locating Conical Degeneracies in the Spectra of Parametric Self-adjoint Matrices. SIAM J. Matrix Anal. Appl. Gregory Berkolaiko, Advait Parulekar
2021	J	`jnl`	Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
2020	J	`jnl`	A quadratically convergent iterative scheme for locating conical degeneracies in the spectra of parametric self-adjoint matrices. CoRR Gregory Berkolaiko, Advait Parulekar
2020	J	`jnl`	Stochastic Linear Bandits with Protected Subspace. CoRR Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai