Sledovat
Vatsal Sharan
Vatsal Sharan
E-mailová adresa ověřena na: stanford.edu - Domovská stránka
Název
Citace
Citace
Rok
Moment-based quantile sketches for efficient high cardinality aggregation queries
E Gan, J Ding, KS Tai, V Sharan, P Bailis
arXiv preprint arXiv:1803.01969, 2018
632018
Sketching linear classifiers over data streams
KS Tai, V Sharan, P Bailis, G Valiant
Proceedings of the 2018 international conference on management of data, 757-772, 2018
472018
Orthogonalized ALS: A theoretically principled tensor decomposition algorithm for practical use
V Sharan, G Valiant
International Conference on Machine Learning, 3095-3104, 2017
462017
Memory-sample tradeoffs for linear regression with small error
V Sharan, A Sidford, G Valiant
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
392019
Omnipredictors
P Gopalan, AT Kalai, O Reingold, V Sharan, U Wieder
arXiv preprint arXiv:2109.05389, 2021
382021
Prediction with a short memory
V Sharan, S Kakade, P Liang, G Valiant
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
38*2018
Pidforest: anomaly detection via partial identification
P Gopalan, V Sharan, U Wieder
Advances in Neural Information Processing Systems 32, 2019
282019
A spectral view of adversarially robust features
S Garg, V Sharan, B Zhang, G Valiant
Advances in Neural Information Processing Systems 31, 2018
282018
Learning overcomplete hmms
V Sharan, SM Kakade, PS Liang, G Valiant
Advances in Neural Information Processing Systems 30, 2017
192017
Energy efficient optimal node-source localization using mobile beacon in ad-hoc sensor networks
S Kumar, V Sharan, RM Hegde
2013 IEEE global communications conference (GLOBECOM), 487-492, 2013
192013
Compressed factorization: Fast and accurate low-rank factorization of compressively-sensed data
V Sharan, KS Tai, P Bailis, G Valiant
International Conference on Machine Learning, 5690-5700, 2019
172019
Efficient convex optimization requires superlinear memory
A Marsden, V Sharan, A Sidford, G Valiant
Conference on Learning Theory, 2390-2430, 2022
162022
Efficient anomaly detection via matrix sketching
V Sharan, P Gopalan, U Wieder
Advances in neural information processing systems 31, 2018
16*2018
Sample amplification: Increasing dataset size even when learning is impossible
B Axelrod, S Garg, V Sharan, G Valiant
International Conference on Machine Learning, 442-451, 2020
142020
One network fits all? modular versus monolithic task formulations in neural networks
A Agarwala, A Das, B Juba, R Panigrahy, V Sharan, X Wang, Q Zhang
arXiv preprint arXiv:2103.15261, 2021
122021
Multicalibrated partitions for importance weights
P Gopalan, O Reingold, V Sharan, U Wieder
International Conference on Algorithmic Learning Theory, 408-435, 2022
112022
Recovery guarantees for quadratic tensors with sparse observations
H Zhang, V Sharan, M Charikar, Y Liang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
9*2019
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks
S Zeighami, C Shahabi, V Sharan
Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023
62023
Spectrum sensing for cognitive radio
V Sharan, P Wankhede
International Journal of Communication Networks and Information Security …, 2013
42013
On the Statistical Complexity of Sample Amplification
B Axelrod, S Garg, Y Han, V Sharan, G Valiant
arXiv preprint arXiv:2201.04315, 2022
32022
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Články 1–20