Stöger, Dominik

1. Small random initialization is akin to spectral learning: Optimization\n and generalization guarantees for overparameterized low-rank matrix\n reconstruction
   2021/06/28 by Dominik Stöger, Stöger, Dominik, Mahdi Soltanolkotabi +1 · 7 citations
   Computer Science · Engineering · Mathematics · Medicine · #Advanced Image Processing Techniques #Advanced MRI Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
2. Blind Demixing and Deconvolution at Near-Optimal Rate
   2017/04/13 by Jung, Peter, Krahmer, Felix, Stöger, Dominik · 4 citations
   #FOS: Computer and information sciences #Information Theory (cs.IT)
3. Complex phase retrieval from subgaussian measurements
   2019/06/19 by Krahmer, Felix, Stöger, Dominik · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Statistics Theory (math.ST)
4. On the convex geometry of blind deconvolution and matrix completion
   2019/02/28 by Krahmer, Felix, Stöger, Dominik · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC)
5. Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing
   2022/04/25 by Kiryung Lee, Lee, Kiryung, Dominik Stöger +1 · 2 citations
   Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Random Matrices and Applications #Distributed Sensor Networks and Detection Algorithms
6. Rigidity for perimeter inequality under spherical symmetrisation
   2019/08/13 by Cagnetti, Filippo, Perugini, Matteo, Stöger, Dominik · 1 citation
   #Analysis of PDEs (math.AP) #FOS: Mathematics
7. Understanding Overparameterization in Generative Adversarial Networks
   2021/04/12 by Yogesh Balaji, Mohammadmahdi Sajedi, Balaji, Yogesh +11 · 1 citation
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks
8. Proof methods for robust low-rank matrix recovery
   2021/06/08 by Tim Fuchs, Fuchs, Tim, David Groß +9 · 1 citation
   Engineering · Physics and Astronomy · #Advanced X-ray Imaging Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
9. How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise?
   2023/03/17 by Kostin, Julia, Krahmer, Felix, Stöger, Dominik · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #electronic engineering #information engineering
10. Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
    2024/08/20 by Stöger, Dominik, Zhu, Yizhe · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR) #Statistics Theory (math.ST)