受强制性开放获取政策约束的文章 - Badih Ghazi了解详情
可在其他位置公开访问的文章：13 篇
Deep learning with label differential privacy
B Ghazi, N Golowich, R Kumar, P Manurangsi, C Zhang
Advances in neural information processing systems 34, 27131-27145, 2021
强制性开放获取政策： US National Science Foundation
On the power of multiple anonymous messages: Frequency estimation and selection in the shuffle model of differential privacy
B Ghazi, N Golowich, R Kumar, R Pagh, A Velingker
Annual International Conference on the Theory and Applications of …, 2021
强制性开放获取政策： US National Science Foundation, Villum Foundation
Sample-efficient proper PAC learning with approximate differential privacy
B Ghazi, N Golowich, R Kumar, P Manurangsi
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
强制性开放获取政策： US National Science Foundation
Optimality of correlated sampling strategies
M Bavarian, B Ghazi, E Haramaty, P Kamath, RL Rivest, M Sudan
arXiv preprint arXiv:1612.01041, 2016
强制性开放获取政策： US National Science Foundation
NP-Hardness of Reed--Solomon Decoding, and the Prouhet--Tarry--Escott Problem
V Gandikota, B Ghazi, E Grigorescu
SIAM Journal on Computing 47 (4), 1547-1584, 2018
强制性开放获取政策： US National Science Foundation
Communication complexity of permutation-invariant functions
B Ghazi, P Kamath, M Sudan
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016
强制性开放获取政策： US National Science Foundation
Communication-rounds tradeoffs for common randomness and secret key generation
M Sudan, B Ghazi, N Golowich, M Bafna
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
强制性开放获取政策： US National Science Foundation
Differentially private all-pairs shortest path distances: Improved algorithms and lower bounds
JY Chen, B Ghazi, R Kumar, P Manurangsi, S Narayanan, J Nelson, Y Xu
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
强制性开放获取政策： US National Science Foundation
Near-tight closure bounds for the Littlestone and threshold dimensions
B Ghazi, N Golowich, R Kumar, P Manurangsi
Algorithmic Learning Theory, 686-696, 2021
强制性开放获取政策： US National Science Foundation
Ticketed learning–unlearning schemes
B Ghazi, P Kamath, R Kumar, P Manurangsi, A Sekhari, C Zhang
The Thirty Sixth Annual Conference on Learning Theory, 5110-5139, 2023
强制性开放获取政策： US National Science Foundation, US Department of Energy
LP/SDP hierarchy lower bounds for decoding random LDPC codes
B Ghazi, E Lee
IEEE Transactions on Information Theory 64 (6), 4423-4437, 2017
强制性开放获取政策： US National Science Foundation
Communication with contextual uncertainty
B Ghazi, I Komargodski, PK Kothari, M Sudan
computational complexity 27, 463-509, 2018
强制性开放获取政策： US National Science Foundation
Compression in a distributed setting
B Ghazi, E Haramaty, P Kamath, M Sudan
Innovations in Theoretical Computer Science (ITCS), 2017
强制性开放获取政策： US National Science Foundation
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