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Vatsal Shah
Vatsal Shah
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Choosing the Sample with Lowest Loss makes SGD Robust
V Shah, X Wu, S Sanghavi
Proceedings of the Twenty Third International Conference on Artificial …, 2020
512020
Negative sampling in semi-supervised learning
J Chen, V Shah, A Kyrillidis
International Conference on Machine Learning, 1704-1714, 2020
292020
Minimum norm solutions do not always generalize well for over-parameterized problems
V Shah, A Kyrillidis, S Sanghavi
In NeurIPS Workshop on Integration of Deep Learning Theories, 2019., 2018
24*2018
Change detection of desert sand dunes: a remote sensing approach
S Varma, V Shah, B Banerjee, KM Buddhiraju
Advances in remote sensing 3 (01), 10, 2014
242014
Trading-off variance and complexity in stochastic gradient descent
V Shah, M Asteris, A Kyrillidis, S Sanghavi
arXiv preprint arXiv:1603.06861, 2016
142016
Robust estimation of tree structured ising models
A Katiyar, V Shah, C Caramanis
arXiv preprint arXiv:2006.05601, 2020
112020
Matrix factorization with side and higher order information
V Shah, N Rao, W Ding
In 13th International KDD Workshop on Mining and Learning with Graphs, 2017., 2017
10*2017
On Robust Learning of Ising Models
AK Erik Lindgren, Vatsal Shah, Yanyao Shen, Alex Dimakis
In Relational Representation Learning Workshop at NeurIPS 2019, 2018
9*2018
Segmentation of desert sand dunes
SV Gadhiraju, V Shah, KM Buddhiraju
Remote sensing letters 5 (11), 961-970, 2014
72014
Robust estimation of tree structured markov random fields
A Katiyar, S Basu, V Shah, C Caramanis
arXiv preprint arXiv:2102.08554, 2021
22021
On Variants of Stochastic Gradient Descent
VN Shah
The University of Texas at Austin, 2020
12020
Power of Choices: Performance under Error and Compression
S Basu, V Shah
2015
Polynomial Time Approximation Schemes for the Euclidean Traveling Salesman Problem
S Wu, V Shah
2015
Unchanging Desert Sand Dunes
S Gadhiraju, B Banerjee, K Buddhiraju, V Shah
AGU Fall Meeting Abstracts 2013, V21A-2697, 2013
2013
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Artikelen 1–14