On multivariate deconvolution with Wasserstein loss: minimax rates and Bayesian contraction rates

Judith Rousseau
December 12, 2023

Nonstandard minimax rates in nonparametric latent variable models and representation learning

Bryon Aragam
December 11, 2023

Rate-Distortion Theoretical Views of Bayesian Learning Coefficients

Kazuho Watanabe
December 11, 2023

Mathematical aspects of equivariant neural networks

Risi Kondor
December 11, 2023

Online learning for spiking neural networks with relative information rate

Shaowei Lin
December 11, 2023

Bias and Variance of Bayes Cross Validation in Singular Learning Theory

Sumio Watanabe
December 11, 2023

Combinatorics of Correlated Equilibria

Ben Hollering 
November 10, 2023

Causal Model Selection and Local Geometry

Robin Evans  
November 10, 2023

Evidence bounds in singular models: probabilistic and variational perspective

Debdeep Pati  
November 9, 2023