Preprint

Empirical Bayes for Data Integration

Paul Rognon-Vael, David Rossell

New (and old) predictive schemes with a.c.i.d. sequences

Marco Battiston, Lorenzo Cappello

Factorization by extremal privacy mechanisms: new insights into efficiency

Chiara Amorino, Arnaud Gloter

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces

Gábor Lugosi, Marcos Matabuena

Fixed-Point Estimation of the Drift Parameter in Stochastic Differential Equations Driven by Rough Multiplicative Fractional Noise

Chiara Amorino, Laure Coutin, Nicolas Marie

A Bayesian framework for change-point detection with uncertainty quantification

Davis Berlind, Lorenzo Cappello, Oscar Hernan Madrid Padilla

Detecting weighted hidden cliques

Urmisha Chatterjee, Karissa Huang, Ritabrata Karmakar, B. R. Vinay Kumar, Gábor Lugosi, Nandan Malhotra, Anirban Mandal, Maruf Alam Tarafdar

Orthogonal eigenvectors and singular vectors of tensors

Alvaro Ribot, Anna Seigal, Piotr Zwiernik

Linear Bandits with Non-i.i.d. Noise

Baptiste Abélès, Eugenio Clerico, Hamish Flynn, Gergely Neu

Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs

Antoine Moulin, Gergely Neu, Luca Viano