Sökning: "Alexandre Proutiere"

Visar resultat 1 - 5 av 20 avhandlingar innehållade orden Alexandre Proutiere.

  1. 1. Inference and Online Learning in Structured Stochastic Systems

    Författare :Kaito Ariu; Alexandre Proutiere; Mikael Johansson; Wouter Koolen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : This thesis contributes to the field of stochastic online learning problems, with a collection of six papers each addressing unique aspects of online learning and inference problems under specific structures. The first four papers focus on exploration and inference problems, uncovering fundamental information-theoretic limits and efficient algorithms under various structures. LÄS MER

  2. 2. Online Dimensionality Reduction

    Författare :Kaito Ariu; Alexandre Proutiere; Mikael Johansson; Richard Combes; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : In this thesis, we investigate online dimensionality reduction methods, wherethe algorithms learn by sequentially acquiring data. We focus on two specificalgorithm design problems in (i) recommender systems and (ii) heterogeneousclustering from binary user feedback. LÄS MER

  3. 3. Statistical Learning in Linearly Structured Systems: Identification, Control, and Reinforcement Learning

    Författare :Yassir Jedra; Alexandre Proutiere; Alexander Rakhlin; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Statistical Learning; Control Theory; Reinforcement Learning; System Identification; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : In this thesis, we investigate the design and statistical efficiency of learning algorithms in systems with a linear structure. This study is carried along three main domains, namely identification, control, and reinforcement learning, and is presented as a collection of five papers. LÄS MER

  4. 4. Calibration in deep-learning eye tracking

    Författare :Erik Lindén; Alexandre Proutiere; Thomas Schön; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Personal variations severely limit the performance of appearance-based gaze tracking. Adapting to these variations using standard neural network model adaptation methods is difficult. The problems range from overfitting, due to small amounts of training data, to underfitting, due to restrictive model architectures. LÄS MER

  5. 5. Adaptive Measurement Strategies for Network Optimization and Control

    Författare :Simon Lindståhl; Alexandre Proutiere; Sindri Magnússon; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Network Optimization; Network Management; Network Orchestration; Multi-armed Bandits; Admission Control; Change Point Detection; Statistical Learning; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The fifth generation networks is rapidly becoming the new network standardand its new technological capabilities are expected to enable a far widervariety of services compared to the fourth generation networks. To ensurethat these services can co-exist and meet their standardized requirements,the network’s resources must be provisioned, managed and reconfigured ina far more complex manner than before. LÄS MER