‪Aarshvi Gajjar‬ - ‪Google Scholar‬

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Co-authors

Christopher MuscoAssistant Professor, New York UniversityVerified email at nyu.edu
Chinmay HegdeNew York UniversityVerified email at nyu.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Xingyu XuCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Aarshvi Gajjar

Aarshvi Gajjar

New York University

Verified email at nyu.edu - Homepage

Active Learning Sketching Sampling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Active learning for single neuron models with lipschitz non-linearities A Gajjar, C Musco, C Hegde International Conference on Artificial Intelligence and Statistics, 4101-4113, 2023	5	2023
Subspace embeddings under nonlinear transformations A Gajjar, C Musco Algorithmic Learning Theory, 656-672, 2021	2	2021
Provable active learning of neural networks for parametric PDEs A Gajjar, C Hegde, CP Musco The Symbiosis of Deep Learning and Differential Equations II, 2022	1	2022
Improved Bounds for Agnostic Active Learning of Single Index Models A Gajjar, X Xu, C Musco, C Hegde NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023		2023

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