research

Working papers

  • The cost of adaptation under differential privacy (working title) — T. Tony Cai, Abhinav Chakraborty, and Lasse Vuursteen

  • A debiased semiparametric Bernstein–von Mises theorem for linear regression — Ismaël Castillo, Stéphanie van der Pas, Kolyan Ray, Aad van der Vaart, and Lasse Vuursteen

  • A Bayesian approach to multi-view learning — Lasse Vuursteen, Timo van der Poel, Wouter van Loon, Botond Szabó, Marjolein Fokkema, and Mark de Rooij

Under review

Published

2024

  1. NeuRIPS
    Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
    Lasse Vuursteen
    To appear in Thirty-seventh Conference on Neural Information Processing Systems, 2024

2023

  1. NeuRIPS
    Optimal testing using combined test statistics across independent studies
    Botond SzabóAad van der VaartLasse Vuursteen, and 1 more author
    In Thirty-sixth Conference on Neural Information Processing Systems, 2023
  2. AoS
    Optimal high-dimensional and nonparametric distributed testing under communication constraints
    Botond SzabóLasse Vuursteen, and Harry van Zanten
    The Annals of Statistics, 2023

2022

  1. IEEE
    Optimal Distributed Composite Testing in High-dimensional Gaussian Models with 1-bit Communication
    Botond SzabóLasse Vuursteen, and Harry van Zanten
    IEEE Transactions on Information Theory, 2022