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Showing result 1 - 5 of 16 swedish dissertations matching the above criteria.

2. 1. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning

   Author : Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

4. 2. Scalable Optimization Methods for Machine Learning : Acceleration, Adaptivity and Structured Non-Convexity

   Author : Vien Van Mai; Mikael Johansson; John Duchi; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Large-scale optimization; Anderson acceleration; first-order methods; stochastic optimization; momentum; gradient clipping; Electrical Engineering; Elektro- och systemteknik;

   Abstract : This thesis aims at developing efficient optimization algorithms for solving large-scale machine learning problems. To cope with the increasing scale and complexity of such models, we focus on first-order and stochastic methods in which updates are carried out using only (noisy) information about function values and (sub)gradients. READ MORE

5. 3. Asynchronous First-Order Algorithms for Large-Scale Optimization : Analysis and Implementation

   Author : Arda Aytekin; Mikael Johansson; Lin Xiao; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; convex; optimization; asynchronous; algorithms; parallel; distributed; large-scale; big data; software; serverless; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Developments in communication and data storage technologies have made large-scale data collection more accessible than ever. The transformation of this data into insight or decisions typically involves solving numerical optimization problems. READ MORE

6. 4. Large-Scale Optimization With Machine Learning Applications

   Author : Vien Van Mai; Mikael Johansson; Alexandre d'Aspremont; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Optimization algorithms; Anderson acceleration; finite-sum; first-order methods; Optimization and Systems Theory; Optimeringslära och systemteori; Electrical Engineering; Elektro- och systemteknik;

   Abstract : This thesis aims at developing efficient algorithms for solving some fundamental engineering problems in data science and machine learning. We investigate a variety of acceleration techniques for improving the convergence times of optimization algorithms. READ MORE

7. 5. Convergence Analysis and Improvements for Projection Algorithms and Splitting Methods

   Author : Mattias Fält; Institutionen för reglerteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; First-order methods; Convex Optimization; Nonsmooth Optimization; Large-scale Optimization; Iterative Methods; Douglas-Rachford splitting; Line Search;

   Abstract : Non-smooth convex optimization problems occur in all fields of engineering. A common approach to solving this class of problems is proximal algorithms, or splitting methods. These first-order optimization algorithms are often simple, well suited to solve large-scale problems and have a low computational cost per iteration. READ MORE