Name: Bernie HOGAN (University of Oxford) – “The Social Implications of Autoencoding”
Start: 2025-03-13T12:15:00+02:00
End: 2025-03-13T13:30:00+02:00

CREST Working Papers Series No. 2017-85

by Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi and Nicolas Papadakis

Working Papers

Julien Trufin (Université Libre de Bruxelles): “Insurance Pricing and Financial Equilibrium through Autocalibration”

Julien TRUFIN (Université Libre de Bruxelles) “Bregman and Tweedie Dominances for Candidate Pure Premiums”

Valentina CORRADI (University of Surrey)”Sparsity Tests for High-Dimensional Linear Regression Models in Time Series”

Bernie HOGAN (University of Oxford) – “The Social Implications of Autoencoding”

Statistics

Log-PCA versus Geodesic PCA of histograms in the Wasserstein space

Learning Generative Models with Sinkhorn Divergences

Sliced Wasserstein Kernel for Persistence Diagrams

Soft-DTW: a Differentiable Loss Function for Time-Series

Linear wavelet estimation of the derivatives of a regression function based on biased data

A note on the adaptive estimation of the diﬀerential entropy by wavelet methods

On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator

Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases

Parametric estimation of hidden Markov models by least squares type estimation and deconvolution

Eﬃciency of the V-fold model selection for localized bases

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