Dominik Stöger

Dominik Stöger Email: Dominik (dot) Stoeger (at) ku (dot) de Google Scholar

Short Bio:

• since 2021: Assistant professor (Tenure Track) at KU Eichstätt-Ingolstadt

• 2019-2021: postdoc at USC (Mentor: Mahdi Soltanolkotabi)

• 2016-2019: Ph.D. in Mathematics at Technical University of Munich (Advisor: Felix Krahmer)

• 2011-2015: B.Sc. and M.Sc. in Mathematics at Technical University of Munich

Research interests:

• Mathematics of data science

• High-dimensional probability and statistics

• Implicit regularization in overparameterized learning

• Compressive sensing and low-rank matrix recovery

• Non-convex optimization in signal processing and machine learning

News:

• 06/2022: new preprint on Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches with Anna Ma and Yizhe Zhu

• 04/2022: new preprint on Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing with Kiryung Lee

• 03/2022: founding member of Mathematical Institute for Machine Learning and Data Science at KU Eichstätt-Ingolstadt (for our new BSc program Data Science see here and here)

• 09/2021: Two papers accepted by NeurIPS’21