Randomized Sketching for Data Fitting

Conditional Sampling and Density Estimation with Triangular Convex Flows

Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches

Efficient Training of Input Convex Neural Networks Using Variable Projection

Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning

Linear Programming Approach for Q-Learning

Regularization of ill-posed inverse problems under mixed precision arithmetics

Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization

Improving Multigrid Methods with Deep Neural Networks