Chargé de Recherches INRAE Équipe LInK My CV https://joon-kwon.github.io/ Publications HAL 🗂️ Type de document Type de document Article dans une revue (7) Article de blog scientifique (0) Autre publication scientifique (0) Autre rapport, séminaire, workshop (0) Brevet (0) Carte (0) Chapitre d'ouvrage (0) Chapitre de rapport (0) Communication dans un congrès (5) Cours (0) Document associé à des manifestations scientifiques (0) HDR (0) Image (0) Logiciel (1) Mémoire d'étudiant (0) Note de lecture (0) Notes de synthèse (0) Notice d’encyclopédie ou de dictionnaire (0) N°spécial de revue/special issue (0) Ouvrages (0) Poster de conférence (2) Proceedings/Recueil des communications (0) Pré-publication, Document de travail (5) Rapport (0) Rapport d'activité (0) Son (0) Thèse (0) Thèse d'établissement (0) Traduction (0) Vidéo (0) typdoc_MEMLIC (0) 📅 Année de publication Année de publication 2026 (1) 2025 (4) 2024 (2) 2023 (2) 2022 (1) 2021 (1) 2020 (0) 2019 (1) 2018 (0) 2017 (6) 2016 (1) 2015 (1) 2014 (0) 2013 (0) 2012 (0) 2011 (0) 2010 (0) 2009 (0) 2008 (0) 2007 (0) 2006 (0) 2005 (0) 2004 (0) 2003 (0) 2002 (0) 2001 (0) 2000 (0) 1999 (0) 1998 (0) 1997 (0) 1996 (0) 1995 (0) 1994 (0) 1993 (0) 1992 (0) 1991 (0) 1990 (0) 1989 (0) 1988 (0) 1987 (0) 1986 (0) 1985 (0) 1984 (0) 1983 (0) 1982 (0) 1981 (0) 1980 (0) 1979 (0) 1978 (0) 1977 (0) 1976 (0) 1975 (0) 1974 (0) 1973 (0) 1972 (0) 1971 (0) 1970 (0) 1969 (0) 1968 (0) 1967 (0) 1966 (0) 1965 (0) 1964 (0) 1963 (0) 1962 (0) 1961 (0) 1960 (0) 1959 (0) 1958 (0) 1957 (0) 1956 (0) 1955 (0) 1954 (0) 1953 (0) 1952 (0) Format d'export BibTeXXMLJSONEndNote Télécharger Total : 20 publications2026Pré-publication, Document de travail A regret minimization approach to fixed-point iterations Joon Kwon We propose a conversion scheme that turns regret minimizing algorithms into fixed point iterations, with convergence guarantees following from regret ... hal-05550037 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2025Article dans une revue 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 This paper presents a dataset of accelerometer data and corresponding video-annotated behaviours from eight indoor dairy Alpine goats. Animals were eq... hal-04997560 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 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 Animal behaviour is a significant component in the evaluation of animal welfare. Conducting continuous observations of animal behaviour is a time-cons... hal-05122302 📚 Exporter : BibTeX | EndNote | DC Importance sampling-based gradient method for dimension reduction in Poisson log-normal model Bastien Batardière, Julien Chiquet, Joon Kwon, Julien Stoehr High-dimensional count data poses significant challenges for statistical analysis, necessitating effective methods that also preserve explainability. ... hal-04712554 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC Poster de conférence Évaluation intégrée du bien-être positif chez les chèvres laitières : Une première étude expérimentale combinant approches éthologiques et numériques Mathilde Valenchon, Sarah Mauny, Chloé Deneuville, Pauline Gauthier, Alexandra Eymard, Mathieu Bonneau, Joon Kwon, Christine Duvaux-Ponter, Masoomeh Taghipoor hal-05261697 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2024Logiciel pyPLNmodels Bastien Batardière, Joon Kwon, Julien Chiquet High dimensional count data are complex to analyze as is, and normalization mustbe performed, but standard normalization does not fit the characterist... hal-04738553 📚 Exporter : BibTeX | EndNote | DC Communication dans un congrès 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, Anne Ricard, Thierry Tribout, Joon Kwon, Jean-Benoist Leger, Tristan Mary-Huard, Beatriz Castro Dias Castro Dias Cuyabano, Pascal Croiseau Over the past two decades, advancements in DNA genotyping have revolutionized the acquisition of extensive genomic data, essential for enhancing genom... hal-04510253 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2023Pré-publication, Document de travail Finite-sum optimization: Adaptivity to smoothness and loopless variance reduction Bastien Batardière, Julien Chiquet, Joon Kwon For finite-sum optimization, variance-reduced gradient methods (VR) compute at each iteration the gradient of a single function (or of a mini-batch), ... hal-04217357 📚 Exporter : BibTeX | EndNote | DC Global Plant Extinction Risk Assessment Inform Novel Biodiversity Hotspots Thomas Haevermans, Jessica Tressou, Joon Kwon, Roseli Pellens, Anne Dubéarnès, Simon Veron, Liliane Bel, Stéphane Dervaux, Juliette Dibie-Barthelemy, Myriam Gaudeul, Rafaël Govaerts, Gwenaël Le Bras, Serge Muller, Germinal Rouhan, Corinne Sarthou, Lydie Soler Curbing biodiversity loss and its impact on ecosystem services, resilience and Nature's Contributions to People is one of the main challenges of our g... hal-04217346 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2022Poster de conférence Analysis of dairy cows’ activity using a hybrid modelling approach for the early detection of health problems Masoomeh Taghipoor, Séverine Bord, Quentin Bulk, Joon Kwon Early detection of disease in animals allows farmers to refine the use of medicines and enables early intervention, reducing the potential pain an ani... hal-03776962 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2021Article dans une revue Refined approachability algorithms and application to regret minimization with global costs Joon Kwon Blackwell's approachability is a framework where two players, the Decision Maker and the Environment, play a repeated game with vector-valued payoffs.... hal-04217335 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2019Pré-publication, Document de travail A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning Joon Kwon, Matthieu Lerasle, Guillaume Lecué Hyperparameters tuning and model selection are important steps in machine learning. Unfortunately, classical hyperparameter calibration and model sele... hal-02786143 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2017Communication dans un congrès Sparse Stochastic Bandits Joon Kwon, Vianney Perchet, Claire Vernade In the classical multi-armed bandit problem, d arms are available to the decision maker who pulls them sequentially in order to maximize his cumulativ... hal-03089519 📚 Exporter : BibTeX | EndNote | DC Sparse stochastic bandits Joon Kwon, Vianney Perchet, Claire Vernade In the classical multi-armed bandit problem, d arms are available to the decision maker who pulls them sequentially in order to maximize his cumulativ... hal-02734034 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC Sparse Stochastic Bandits Joon Kwon, Vianney Perchet, Claire Vernade hal-02287913 📚 Exporter : BibTeX | EndNote | DC Online learning and Blackwell approachability with partial monitoring: optimal convergence rates Joon Kwon, Vianney Perchet Blackwell approachability is an online learning setup generalizing the classical problem of regret minimization by allowing for instance multi-criteri... hal-02734035 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC Article dans une revue A continuous-time approach to online optimization Joon Kwon, Panayotis Mertikopoulos We consider a family of mirror descent strategies for online optimization in continuous-time and we show that they lead to no regret. From a more trad... hal-02619471 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC A universal bound on the variations of bounded convex functions Joon Kwon Given a convex set C in a real vector space E and two points x, y ∈ C, we investivate which are the possible values for the variation f(y) − f(x),... hal-02618650 📚 Exporter : BibTeX | EndNote | DC 2016Article dans une revue Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case Joon Kwon, Vianney Perchet We demonstrate that, in the classical non-stochastic regret minimization problem with d decisions, gains and losses to be respectively maximized or mi... hal-02630070 | ⬇️ Télécharger 📚 Exporter : BibTeX | EndNote | DC 2015Pré-publication, Document de travail Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case Vianney Perchet, Joon Kwon hal-01265075 📚 Exporter : BibTeX | EndNote | DC