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In-Game Social Interactions to Facilitate ESL Students' Morphological Awareness, Language and Literacy Skills
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In: Computer Science Faculty Publications and Presentations (2021)
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Minimal winning coalitions and orders of criticality
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In: ISSN: 0254-5330 ; EISSN: 1572-9338 ; Annals of Operations Research ; https://hal.archives-ouvertes.fr/hal-03388959 ; Annals of Operations Research, Springer Verlag, 2021, ⟨10.1007/s10479-021-04199-6⟩ ; https://link.springer.com/article/10.1007%2Fs10479-021-04199-6#citeas (2021)
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"It Is Not the Robot Who Learns, It Is Me." Treating Severe Dysgraphia Using Child-Robot Interaction
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In: ISSN: 1664-0640 ; Frontiers in Psychiatry ; https://hal.sorbonne-universite.fr/hal-03152170 ; Frontiers in Psychiatry, Frontiers, 2021, 12, pp.596055. ⟨10.3389/fpsyt.2021.596055⟩ (2021)
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3D Serious Game Modeling and Design: Contributions to Language Learning ; Modélisation et Conception de jeu sérieux tridimensionnel : Contributions à l’apprentissage des langues
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In: https://hal.archives-ouvertes.fr/tel-03315793 ; Environnements Informatiques pour l'Apprentissage Humain. Université Ibn Tofail, Kénitra (Maroc), 2021. Français (2021)
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Online And Face To Face Teaching: two complementary educational intervention modes ; L'enseignement du FLE en face à face et en ligne : deux modes d'intervention pédagogiques complémentaires
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In: ISSN: 2773-286X ; Didaskein ; https://hal.archives-ouvertes.fr/hal-03429054 ; Didaskein, 2021, 2 (1), pp.28-47 (2021)
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Agentivité de l’horreur, creepypastas et jeu vidéo
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In: ISSN: 2269-7586 ; Romanesques : revue du Centre d'études du roman et du romanesque [de l'Université de Picardie-Jules Verne] ; https://hal.archives-ouvertes.fr/hal-03472208 ; Romanesques : revue du Centre d'études du roman et du romanesque [de l'Université de Picardie-Jules Verne] , Classiques Garnier, 2021, ⟨10.48611/isbn.978-2-406-12548-8.p.0057⟩ (2021)
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Le traitement des dialogues fictifs dans l’élaboration d’un jeu sérieux
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In: Journée des Doctorants en Sciences Humaines et Sociales ; https://hal.archives-ouvertes.fr/hal-03522927 ; Journée des Doctorants en Sciences Humaines et Sociales, Université d'Orléans; Université de Tours, Jun 2021, Orléans, France (2021)
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Proofs as games and games as proofs: dialogical semantics for logic and natural language. ; Les preuves vues comme des jeux et réciproquement : sémantique dialogique de langages naturels ou logiques.
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In: https://tel.archives-ouvertes.fr/tel-03553000 ; Logic in Computer Science [cs.LO]. Université de Montpellier, 2021. English (2021)
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Proofs as games and games as proofs : dialogical semantics of logical and natural languages ; Les preuves vues comme des jeux et réciproquement : sémantique dialogique de langages naturel ou logiques
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In: https://tel.archives-ouvertes.fr/tel-03588308 ; Informatique et langage [cs.CL]. Université Montpellier, 2021. Français. ⟨NNT : 2021MONTS064⟩ (2021)
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Proofs as games and games as proofs: dialogical semantics for logic and natural language. ; Les preuves vues comme des jeux et réciproquement : sémantique dialogique de langages naturels ou logiques.
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In: https://tel.archives-ouvertes.fr/tel-03553000 ; Logic in Computer Science [cs.LO]. Université de Montpellier, 2021. English (2021)
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Lexicographically Fair Learning: Algorithms and Generalization
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Abstract:
We extend the notion of minimax fairness in supervised learning problems to its natural conclusion: lexicographic minimax fairness (or lexifairness for short). Informally, given a collection of demographic groups of interest, minimax fairness asks that the error of the group with the highest error be minimized. Lexifairness goes further and asks that amongst all minimax fair solutions, the error of the group with the second highest error should be minimized, and amongst all of those solutions, the error of the group with the third highest error should be minimized, and so on. Despite its naturalness, correctly defining lexifairness is considerably more subtle than minimax fairness, because of inherent sensitivity to approximation error. We give a notion of approximate lexifairness that avoids this issue, and then derive oracle-efficient algorithms for finding approximately lexifair solutions in a very general setting. When the underlying empirical risk minimization problem absent fairness constraints is convex (as it is, for example, with linear and logistic regression), our algorithms are provably efficient even in the worst case. Finally, we show generalization bounds - approximate lexifairness on the training sample implies approximate lexifairness on the true distribution with high probability. Our ability to prove generalization bounds depends on our choosing definitions that avoid the instability of naive definitions.
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Keyword:
Data processing Computer science; Fair Learning; Game Theory; Lexicographic Fairness; Online Learning
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URN:
urn:nbn:de:0030-drops-138748
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URL: https://drops.dagstuhl.de/opus/volltexte/2021/13874/ https://doi.org/10.4230/LIPIcs.FORC.2021.6
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ЛЕКСИЧЕСКИЕ СПОСОБЫ НАИМЕНОВАНИЯ ПЕРСОНАЛЬНОГО КОМПЬЮТЕРА В СОВРЕМЕННОМ РУССКОМ ЯЗЫКЕ ... : LEXICAL WAYS OF NAMING A PERSONAL COMPUTER IN MODERN RUSSIAN ...
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Language Acquisition Intervention: A Prototype in Supplemental Children’s Education Through Media
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The Game Walkthrough Corpus (GWTC) – A Resource for the Analysis of Textual Game Descriptions
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In: Journal of Open Humanities Data; Vol 7 (2021); 14 ; 2059-481X (2021)
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Proceedings Eighteenth Conference on Theoretical Aspects of Rationality and Knowledge ...
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On the Connection between Individual Scaled Vickrey Payments and the Egalitarian Allocation ...
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The Use of Video Games in Teaching EFL Students to Write Arguments
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Boland, Dalal. - : Digital Commons @ University of South Florida, 2021
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In: Graduate Theses and Dissertations (2021)
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Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models
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