Geometry of Linear Neural Networks that are Equivariant /  Invariant under Permutation Groups

Kathlén Kohn
December 13, 2023

Efficient Invariant Embeddings for multisets, point sets, and graphs

Nadav Dym
December 13, 2023

Core Shrinkage Covariance Estimation for Matrix-variate Data

Peter Hoff
December 13, 2023

Equivariant Estimation of Fréchet Means

Andrew McCormack
December 12, 2023

Equivariant Variance Estimation for Multiple Change-point Model

Han Xiao
December 12, 2023

Differential privacy for networks and tables 

Vishesh Karwa
December 12, 2023

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

Judith Rousseau
December 12, 2023

Minimum distance estimators and inverse bounds for latent probability measures

Xuanlong Nguyen
December 12, 2023

Nonstandard minimax rates in nonparametric latent variable models and representation learning

Bryon Aragam
December 11, 2023