Peter Ochs

1. Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
   2019/05/22 by Mahesh Chandra Mukkamala, Peter Ochs, Mukkamala, Mahesh Chandra +1 · 3 citations
   Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Information Retrieval (cs.IR) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
2. Local Convergence of the Heavy-ball Method and iPiano for Non-convex\n Optimization
   2016/06/29 by Peter Ochs, Ochs, Peter · 2 citations
   Computer Science · Engineering · Mathematics · #49J52 #65K05 #90C26 #90C30 #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
3. Convex-Concave Backtracking for Inertial Bregman Proximal Gradient\n Algorithms in Non-Convex Optimization
   2019/04/06 by Mahesh Chandra Mukkamala, Peter Ochs, Mukkamala, Mahesh Chandra +5 · 2 citations
   Computer Science · Engineering · Medicine · #26B25 #49M27 #52A41 #65K05 #90C25 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optical Imaging and Spectroscopy Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
4. Automatic Differentiation of Some First-Order Methods in Parametric Optimization
   2019/10/13 by Sheheryar Mehmood, Mehmood, Sheheryar, Peter Ochs +1 · 2 citations
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Face and Expression Recognition #Neural Networks and Applications #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
5. Model Function Based Conditional Gradient Method with Armijo-like Line Search
   2019/01/23 by Yura Malitsky, Malitsky, Yura, Peter Ochs +1 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Advanced Vision and Imaging #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
6. Global non-asymptotic super-linear convergence rates of regularized proximal quasi-Newton methods on non-smooth composite problems
   2024/10/15 by Shida Wang, Wang, Shida, Jalal Fadili +3 · 3 citations
   Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Optimization and Control (math.OC) #Optimization and Variational Analysis
7. An SDE Perspective on Stochastic Inertial Gradient Dynamics with Time-Dependent Viscosity and Geometric Damping
   2024/07/05 by Rodrigo Maulen-Soto, Jalal Fadili, Maulen-Soto, Rodrigo +5 · 2 citations
   Economics, Econometrics and Finance · Mathematics · #37N40 #46N10 #49M99 #60G12 #60H10 #65B99 #65K05 #65K10 #90B50 #90C25 #90C53 #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth #Optimization and Control (math.OC) #Stochastic processes and financial applications
8. A Generalization Result for Convergence in Learning-to-Optimize
   2024/10/10 by Michael Sucker, Sucker, Michael, Peter Ochs +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Probability (math.PR)