Bernoulli Young Researcher Event 2022: Program and Registration Form

Young members of the Bernoulli Society from all over the world active in the areas of Mathematical Statistics, High Dimensional Statistics, Probability and Machine Learning will present their recent contributions in
an online event taking place on the 20th and 21st of July 2022 between15:00-19:00 (CEST). The workshop is intended for a broad audience.


20th of July

Chair: Imma Valentina Curato

15:00/15:30 Tengyao Wang, London School of Economics and Political Science.
"Estimation of changepoints in high-dimensional regression coefficients."

15:30/16:00 Tom Berrett, University of Warwick.
"Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility."

16:00/16:30 Tobias Fissler, Vienna University of Economics and Business.
"Generalised Correlation Measures."

16:30/17:00 Zhenhua Lin, National University of Singapore.
"Total Variation Regularized Fréchet Regression."

Chair: Nancy Reid

17:00/17:30 Qiyang Han, Rutgers University.
"Noisy linear inverse problems under convex constraints: exact risk asymptotics in high dimensions."

17:30/18:00 Merle Behr, Bayer AG, Research & Development, Pharmaceuticals.
"Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests."

18:00/18:30 Andressa Cerqueira, Federal University of São Carlos.
"Estimating the number of communities in networks."

21st of July

Chair: Adam Jakubowski

15:00/15:30 Rodrigo Marinho de Souza, Universidade Federal do Rio Grande do Sul.
"Sharp convergence to equilibrium for the SSEP with reservoirs."

15:30/16:00 Dan Mikulincer, Massachusetts Institute of Technology.
"Transportation along Langevin flows."

16:00/16:30 Mikołaj Kasprzak, Massachusetts Institute of Technology.
"Theoretical guarantees for the quality of Laplace approximations in Bayesian statistics."

16:30/17:00 Marta Catalano, University of Warwick.
"Optimal transport methods for Bayesian nonparametric models."

Chair: Sandro Gallo

17:00/17:30 Lucas Janson, Harvard University.
"Controlled Discovery and Localization of Signals via Bayesian Linear Programming (BLiP)."

17:30/18:00 Tomas Masák , École polytechnique fédérale de Lausanne.
"Separable Expansions for Covariance Estimation via the Partial Inner Product".

18:00/18:30 Yuting Wei, University of Pennsylvania.
" Minimum L1 interpolators: Precise asymptotics and multiple descent."

18:30/19:00 Zijian Guo, Rutgers University.
"Deconfounding with Robust Instrumental Variable Approaches."

Please fill in the below form to subscribe to the workshop. A zoom link will be sent to all interested participants in due time.

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