Michiel E. Hochstenbach

1. On the influence of stochastic roundoff errors and their bias on the convergence of the gradient descent method with low-precision floating-point computation
   2022/02/24 by Lu Xia, Stefano Massei, Xia, Lu +5 · 3 citations
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Stochastic Gradient Optimization Techniques
2. A hybrid DEIM and leverage scores based method for CUR index selection
   2022/01/18 by Perfect Y. Gidisu, Gidisu, Perfect Y., Michiel E. Hochstenbach +1 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Face and Expression Recognition #Multi-Criteria Decision Making #Sparse and Compressive Sensing Techniques
3. Polynomial two-parameter eigenvalue problems and matrix pencil methods for stability of delay-differential equations
   2008/09/22 by Elias Jarlebring, Michiel E. Hochstenbach, Jarlebring, Elias +1 · 1 citation
   Computer Science · Engineering · Mathematics · #65F15 #Dynamical Systems (math.DS) #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Numerical methods for differential equations
4. A harmonic framework for stepsize selection in gradient methods
   2022/02/21 by Giulia Ferrandi, Michiel E. Hochstenbach, Ferrandi, Giulia +3 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
5. On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality
   2023/01/23 by Lu Xia, Michiel E. Hochstenbach, Xia, Lu +3 · 1 citation
   Engineering · Computer Science · #Advanced Numerical Analysis Techniques #Stochastic Gradient Optimization Techniques #3D Shape Modeling and Analysis