Joon Kwon

19
Documents

Publications

Publications

Deposit thumbnail

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-04712554v4
Deposit thumbnail

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-04997560v1

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

Sarah Mauny , Joon Kwon , Nicolas N.C. Friggens , Christine Duvaux-Ponter , Masoomeh Taghipoor

Peer Community Journal, 2025, 5, pp.e41. ⟨10.24072/pcjournal.545⟩

Article dans une revue hal-05122302v1
Deposit thumbnail

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-04217335v1
Deposit thumbnail

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-02619471v1

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-02618650v1
Deposit thumbnail

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-02630070v1
Deposit thumbnail

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-04510253v1
Deposit thumbnail

Sparse stochastic bandits

Joon Kwon , Vianney Perchet , Claire Vernade

2017 Conference on Learning Theory (COLT), Jul 2017, Amsterdam, Netherlands

Communication dans un congrès hal-02734034v1

Sparse Stochastic Bandits

Joon Kwon , Vianney Perchet , Claire Vernade

COLT, May 2017, Amsterdam, Netherlands

Communication dans un congrès hal-02287913v1

Sparse Stochastic Bandits

Joon Kwon , Vianney Perchet , Claire Vernade

Conference on Learning Theory, Jul 2017, Amsterdam, Netherlands

Communication dans un congrès hal-03089519v1
Deposit thumbnail

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-02734035v1