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Lasse Vuursteen
Lasse Vuursteen
Postdoc at Wharton, Department of Statistics and Data Science, University of Pennsylvania
Verified email at wharton.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication
B Szabó, L Vuursteen, H Van Zanten
IEEE Transactions on Information Theory 68 (6), 4070-4084, 2022
15*2022
Optimal high-dimensional and nonparametric distributed testing under communication constraints
B Szabó, L Vuursteen, H Van Zanten
The Annals of Statistics 51 (3), 909-934, 2023
132023
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
TT Cai, A Chakraborty, L Vuursteen
arXiv preprint arXiv:2406.06755, 2024
52024
Optimal testing using combined test statistics across independent studies
L Vuursteen, B Szabó, A van der Vaart, H van Zanten
Advances in Neural Information Processing Systems 36, 2024
22024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
TT Cai, A Chakraborty, L Vuursteen
arXiv preprint arXiv:2406.06749, 2024
12024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
L Vuursteen
arXiv preprint arXiv:2411.01275, 2024
2024
SUPPLEMENTARY MATERIAL TO “OPTIMAL HIGH-DIMENSIONAL AND NONPARAMETRIC DISTRIBUTED TESTING UNDER COMMUNICATION CONSTRAINTS”
B SZABÓ, L VUURSTEEN, H VAN ZANTEN
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Articles 1–7