Joon Kwon

20
Documents

Publications

Publications

A pipeline with pre-processing options to detect behaviour from accelerometer data using Machine Learning tested on dairy goats

Sarah Mauny , Joon Kwon , Nicolas Friggens , Christine Duvaux-Ponter , Masoomeh Taghipoor
Peer Community Journal, 2025, 5, pp.e41. ⟨10.24072/pcjournal.545⟩
Article dans une revue hal-05122302 v1
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Importance sampling-based gradient method for dimension reduction in Poisson log-normal model

Bastien Batardière , Julien Chiquet , Joon Kwon , Julien Stoehr
Electronic Journal of Statistics , 2025, 19 (1), ⟨10.1214/25-EJS2384⟩
Article dans une revue hal-04712554 v4
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Data paper: A goat behaviour dataset combining labelled behaviours and accelerometer data for training Machine Learning detection models

Sarah Mauny , Joon Kwon , Nicolas N.C. Friggens , Christine Duvaux-Ponter , Masoomeh Taghipoor
Animal - Open Space, 2025, 4, pp.100095. ⟨10.1016/j.anopes.2025.100095⟩
Article dans une revue (data paper) hal-04997560 v1
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Refined approachability algorithms and application to regret minimization with global costs

Joon Kwon
Journal of Machine Learning Research, 2021, 22, pp.1-38
Article dans une revue hal-04217335 v1
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A continuous-time approach to online optimization

Joon Kwon , Panayotis Mertikopoulos
Journal of Dynamics and Games, 2017, 4 (2), pp.125-148. ⟨10.3934/jdg.2017008⟩
Article dans une revue hal-02619471 v1

A universal bound on the variations of bounded convex functions

Joon Kwon
Journal of Convex Analysis, 2017, 24 (1), pp.67-73
Article dans une revue hal-02618650 v1
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Gains and losses are fundamentally different in regret minimization: the sparse case

Joon Kwon , Vianney Perchet
Journal of Machine Learning Research, 2016, 17 (227), pp.1-32
Article dans une revue hal-02630070 v1
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Benchmarking predictive models: evaluating parametric, ensemble, and deep learning approaches for animal phenotype prediction from genotypes.

Eric Barrey , Blaise Hanczar , Julien Chiquet , Didier Boichard , Jocelyn de Goër de Herve et al.
AI and biology Symposium, EMBO EMBL, Heidelberg, Mar 2024, Heidelberg, Germany
Communication dans un congrès hal-04510253 v1

Sparse Stochastic Bandits

Joon Kwon , Vianney Perchet , Claire Vernade
COLT, May 2017, Amsterdam, Netherlands
Communication dans un congrès hal-02287913 v1

Sparse Stochastic Bandits

Joon Kwon , Vianney Perchet , Claire Vernade
Conference on Learning Theory, Jul 2017, Amsterdam, Netherlands
Communication dans un congrès hal-03089519 v1
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Online learning and Blackwell approachability with partial monitoring: optimal convergence rates

Joon Kwon , Vianney Perchet
20. International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, United States
Communication dans un congrès hal-02734035 v1
Image document

Sparse stochastic bandits

Joon Kwon , Vianney Perchet , Claire Vernade
2017 Conference on Learning Theory (COLT), Jul 2017, Amsterdam, Netherlands
Communication dans un congrès hal-02734034 v1
Image document

Mirror descent strategies for regret minimization and approachability

Joon Kwon
Life Sciences [q-bio]. Université Pierre et Marie Curie - Paris 6, 2016. English. ⟨NNT : ⟩
Thèse tel-02795606 v1