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Latest posts
Last updated 2 months ago
The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
2 months ago
MALA is a popular gradient-based Markov chain Monte Carlo method to access...
Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios?
2 months ago
Training deep learning neural networks often requires massive amounts of computational ressources...
Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors
2 months ago
In the framework of the FD (frequent directions) algorithm, we first develop...
Identifying Weight-Variant Latent Causal Models
2 months ago
The task of causal representation learning aims to uncover latent higher-level causal...
Classification Under Local Differential Privacy with Model Reversal and Model Averaging
2 months ago
Local differential privacy has become a central topic in data privacy research...
Stochastic Gradient Methods: Bias, Stability and Generalization
2 months ago
Recent developments of stochastic optimization often suggest biased gradient estimators to improve...
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
2 months ago
Variational inference (VI) has emerged as a popular method for approximate inference...
Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
2 months ago
Tensors, which give a faithful and effective representation to deliver the intrinsic...
skwdro: a library for Wasserstein distributionally robust machine learning
2 months ago
We present skwdro, a Python library for training robust machine learning models...
Nonlinear function-on-function regression by RKHS
2 months ago
We propose a nonlinear function-on-function regression model where both the covariate and...
Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations
2 months ago
In recent work concerned with the approximation and expressive powers of deep...
A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation
2 months ago
In this paper, we introduce a data-augmented nonparametric noise contrastive estimation method...