Search for dissertations about: "proximal optimization"

Showing result 1 - 5 of 8 swedish dissertations containing the words proximal optimization.

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

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Pol del Aguila Pla; KTH.; [2019]
    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

  2. 2. Asynchronous First-Order Algorithms for Large-Scale Optimization Analysis and Implementation

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Arda Aytekin; KTH.; [2019]
    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

  3. 3. Large-Scale Optimization With Machine Learning Applications

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Vien Van Mai; KTH.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Optimization algorithms; Anderson acceleration; finite-sum; first-order methods; Optimeringslära och systemteori; Optimization and Systems Theory; 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

  4. 4. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    University dissertation from Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Author : Ted Kronvall; Lund University.; Lunds universitet.; Lund University.; [2017-09-22]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE

  5. 5. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

    University dissertation from Stockholm, Sweden : KTH Royal Institute of Technology

    Author : Axel Ringh; KTH.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inverse problems; convex optimization; variational regularization; trigonometric moment problems; optimal mass transport; computed tomography; machine learning; analytic interpolation; delay systems; Inversa problem; konvex optimering; variationell regularisering; trigonometriska momentproblem; optimal masstransport; datortomografi; maskininlärning; analytisk interpolation; system med tidsfördröjning; Matematik; Mathematics;

    Abstract : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. READ MORE