Sökning: "Alexandre Proutiere"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Alexandre Proutiere.

  1. 1. Online Dimensionality Reduction

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

  2. 2. Calibration in deep-learning eye tracking

    Författare :Erik Lindén; Alexandre Proutiere; Thomas Schön; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; 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

  3. 3. Efficient Online Learning under Bandit Feedback

    Författare :Stefan Magureanu; Alexandre Proutiere; Odalric-Ambrym Maillard; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multi-armed bandits; reinforcement learning; learning to rank; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm and extend these results to bandits with arbitrary structure that is known to the decision maker. LÄS MER

  4. 4. Structured Stochastic Bandits

    Författare :Stefan Magureanu; Alexandre Proutiere; Emilie Kaufmann; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-armed bandits; Learning to rank; reinforcement learning; Lipschitz Bandits; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm, and the learning to rank problem, as viewed from a MAB perspective. LÄS MER

  5. 5. Fast, Robust and Scalable Clustering Algorithms with Applications in Computer Vision

    Författare :Vahan Petrosyan; Alexandre Proutiere; Mikael Johansson; Maki Atsuto; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Datalogi; Computer Science; Datalogi; Computer Science; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : In this thesis, we address a number of challenges in cluster analysis. We begin by investigating one of the oldest and most challenging problems: determining the number of clusters, k. LÄS MER