Stebėti
Vitaly Feldman
Vitaly Feldman
Apple
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Pavadinimas
Cituota
Cituota
Metai
Does learning require memorization? a short tale about a long tail
V Feldman
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
5462020
Amplification by shuffling: From local to central differential privacy via anonymity
Ú Erlingsson, V Feldman, I Mironov, A Raghunathan, K Talwar, ...
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
5222019
What neural networks memorize and why: Discovering the long tail via influence estimation
V Feldman, C Zhang
Advances in Neural Information Processing Systems 33, 2881-2891, 2020
5012020
Preserving statistical validity in adaptive data analysis
C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, AL Roth
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
4342015
The reusable holdout: Preserving validity in adaptive data analysis
C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth
Science 349 (6248), 636-638, 2015
4082015
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
AS Cassidy, P Merolla, JV Arthur, SK Esser, B Jackson, R Alvarez-Icaza, ...
The 2013 international joint conference on neural networks (IJCNN), 1-10, 2013
3612013
Statistical algorithms and a lower bound for detecting planted cliques
V Feldman, E Grigorescu, L Reyzin, S Vempala, Y Xiao
Journal of the ACM (JACM), 2017, 655-664, 2013
306*2013
On agnostic learning of parities, monomials, and halfspaces
V Feldman, P Gopalan, S Khot, AK Ponnuswami
SIAM J. Comput 39 (2), 606-645, 2009
298*2009
Private stochastic convex optimization with optimal rates
R Bassily, V Feldman, K Talwar, A Guha Thakurta
Advances in neural information processing systems 32, 2019
2802019
Generalization in adaptive data analysis and holdout reuse
C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth
Advances in neural information processing systems 28, 2015
2742015
Private stochastic convex optimization: optimal rates in linear time
V Feldman, T Koren, K Talwar
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
2142020
Privacy amplification by iteration
V Feldman, I Mironov, K Talwar, A Thakurta
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
2132018
Stability of stochastic gradient descent on nonsmooth convex losses
R Bassily, V Feldman, C Guzmán, K Talwar
Advances in Neural Information Processing Systems 33, 4381-4391, 2020
2122020
Agnostic learning of monomials by halfspaces is hard
V Feldman, V Guruswami, P Raghavendra, Y Wu
SIAM Journal on Computing 41 (6), 1558-1590, 2012
1832012
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate
V Feldman, J Vondrak
Conference on Learning Theory, 1270-1279, 2019
1752019
Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling
V Feldman, A McMillan, K Talwar
2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
1692022
On the complexity of random satisfiability problems with planted solutions
V Feldman, W Perkins, S Vempala
Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015
1502015
Statistical query algorithms for mean vector estimation and stochastic convex optimization
V Feldman, C Guzman, S Vempala
Mathematics of Operations Research 46 (3), 912-945, 2021
121*2021
Privacy-preserving prediction
C Dwork, V Feldman
Conference On Learning Theory, 1693-1702, 2018
1142018
When is memorization of irrelevant training data necessary for high-accuracy learning?
G Brown, M Bun, V Feldman, A Smith, K Talwar
Proceedings of the 53rd annual ACM SIGACT symposium on theory of computing …, 2021
1102021
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