research
Working papers
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Optimal private functional mean estimation (working title) – T. Tony Cai, Abhinav Chakraborty and Lasse Vuursteen
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The cost of adaptation under differential privacy (working title) – T. Tony Cai, Abhinav Chakraborty and Lasse Vuursteen
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A debiased semiparametric Bernstein von Mises theorem for linear regression – Ismael Castillo, Stephanié van der Pas, Kolyan Ray, and Aad van der Vaart, Lasse Vuursteen
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A Bayesian approach to multi-view Learning – Lasse Vuursteen, Timo van der Poel, Wouter van Loon, Botond Szabo, Marjolein Fokkema, Mark de Rooij
Under review
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Optimal federated learning for nonparametric regression with ongoing heterogenous distributed differential privacy constraints – T. Tony Cai, Abhinav Chakraborty and Lasse Vuursteen
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Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests – T. Tony Cai, Abhinav Chakraborty and Lasse Vuursteen
Published
2024
- NeuRIPSOptimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample RegimeTo appear in Thirty-seventh Conference on Neural Information Processing Systems, 2024
2023
- NeuRIPSOptimal testing using combined test statistics across independent studiesIn Thirty-sixth Conference on Neural Information Processing Systems, 2023