Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Department of Electrical and Computer Engineering Taiwan, National Chiao Tung University (NCTU)
Superior Title: ISSN: 0018-9448 ; IEEE Transactions on Information Theory ; https://hal.science/hal-03849748 ; IEEE Transactions on Information Theory, In press, ⟨10.1109/TIT.2024.3365728⟩.
Subject Terms: Supervised Learning, PAC-Learning, Regularization, Relative Entropy, Empirical Risk Minimization, Gibbs Measure, Gibbs Algorithm, Generalization, Sensitivity, Supervised Learning PAC-Learning Relative Entropy Regularization Empirical Risk Minimization Gibbs Measure Gibbs Algorithm Generalization and Sensitivity. I, Relative Entropy Regularization, and Sensitivity. I, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
Relation: hal-03849748; https://hal.science/hal-03849748; https://hal.science/hal-03849748v4/document; https://hal.science/hal-03849748v4/file/V4-CameraReady.pdf
Authors: Zou, Xinying, Perlaza, Samir, M., Esnaola, Iñaki, Altman, Eitan
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Laboratory of Information, Network and Communication Sciences (LINCS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom Paris (IMT)-Sorbonne Université (SU), Inria Exploratory Action IDEM - Information and Decision Making, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021)
Superior Title: AAAI 2024 - Conference on Artificial Intelligence ; https://inria.hal.science/hal-04353957 ; AAAI 2024 - Conference on Artificial Intelligence, Feb 2024, Vancouver, Canada
Subject Terms: Supervised Machine Learning, Worst-Case, Generalization Gap, Relative Entropy, Gibbs Algorithm, Sensitivity, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]
Subject Geographic: Vancouver
Time: Vancouver, Canada
Relation: hal-04353957; https://inria.hal.science/hal-04353957; https://inria.hal.science/hal-04353957/document; https://inria.hal.science/hal-04353957/file/AAAI24camera_Hal.pdf
Availability:
https://inria.hal.science/hal-04353957
https://inria.hal.science/hal-04353957/document
https://inria.hal.science/hal-04353957/file/AAAI24camera_Hal.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Inria Exploratory Action -- Information and Decision Making (IDEM)U.S National Science Foundation under Grant ECCS-2335876C3.ai Digital Transformation InstitutePrinceton Language + Intelligence, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021)
Superior Title: EISSN: 2641-8770 ; IEEE Journal on Selected Areas in Information Theory ; https://inria.hal.science/hal-04442591 ; IEEE Journal on Selected Areas in Information Theory, In press, ⟨10.1109/JSAIT.2024.3383281⟩
Subject Terms: Supervised Machine Learning, Worst-Case, Generalization Error, Relative Entropy, Gibbs Algorithm, Sensitivity, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: hal-04442591; https://inria.hal.science/hal-04442591; https://inria.hal.science/hal-04442591v2/document; https://inria.hal.science/hal-04442591v2/file/JSAIT_camera.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Inria Exploratory Action -- Information and Decision Making (IDEM)U.S National Science Foundation under Grant ECCS-2335876C3.ai Digital Transformation InstitutePrinceton Language + Intelligence, INRIA, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021), European Project: 872172,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions,TESTBED2(2020)
Superior Title: https://inria.hal.science/hal-04442566 ; RR-9539, INRIA. 2024, pp.67.
Subject Terms: Statistical Machine Learning, Gibbs Algorithm, Generalization Error, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: info:eu-repo/grantAgreement//872172/EU/Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment/TESTBED2; Report N°: RR-9539; hal-04442566; https://inria.hal.science/hal-04442566; https://inria.hal.science/hal-04442566v2/document; https://inria.hal.science/hal-04442566v2/file/V2-RR9539.pdf
Availability:
https://inria.hal.science/hal-04442566
https://inria.hal.science/hal-04442566v2/document
https://inria.hal.science/hal-04442566v2/file/V2-RR9539.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, INRIA Exploratory Action IDEM, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021), European Project: 872172,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions,TESTBED2(2020)
Superior Title: https://inria.hal.science/hal-04426500 ; 2024.
Subject Terms: Generalization Error, Worst-Case, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: info:eu-repo/grantAgreement//872172/EU/Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment/TESTBED2; hal-04426500; https://inria.hal.science/hal-04426500; https://inria.hal.science/hal-04426500/document; https://inria.hal.science/hal-04426500/file/An%20Exact%20Characterization%20of%20the%20Generalization%20Error%20of%20Machine%20Learning%20Algorithms.pdf
Availability:
https://inria.hal.science/hal-04426500
https://inria.hal.science/hal-04426500/document
https://inria.hal.science/hal-04426500/file/An%20Exact%20Characterization%20of%20the%20Generalization%20Error%20of%20Machine%20Learning%20Algorithms.pdf
Contributors: Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), This work is supported in part by the University of Sheffield ACSE PGR scholarships, the Inria Exploratory Action -- Information and Decision Making (AEx IDEM), and in part by a grant from the C3.ai Digital Transformation Institute., INRIA, Centre Inria d'Université Côte d'Azur, Sophia Antipolis, European Project: 872172,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions,TESTBED2(2020)
Superior Title: https://hal.science/hal-04110899 ; RR-9508, INRIA, Centre Inria d'Université Côte d'Azur, Sophia Antipolis. 2023.
Subject Terms: Supervised Learning, Empirical Risk Minimization, Relative Entropy, Regulariza- tion, Gibbs Measure, Inductive Bias, Gibbs Algorithm, Sensitivity, Generalization, Apprentissage Supervisé, Minimisation du Risque Empirique, Entropie Relative, R\'{e}gularisation, Algorithme de Gibbs, Mesure de Gibbs, Sensitivité, Généralisation, [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Relation: info:eu-repo/grantAgreement//872172/EU/Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment/TESTBED2; Report N°: RR-9508; hal-04110899; https://hal.science/hal-04110899; https://hal.science/hal-04110899v2/document; https://hal.science/hal-04110899v2/file/V2-RR9508.pdf
Availability:
https://hal.science/hal-04110899
https://hal.science/hal-04110899v2/document
https://hal.science/hal-04110899v2/file/V2-RR9508.pdf
Authors: Zou, Xinying, Perlaza, Samir, M., Esnaola, Iñaki, Altman, Eitan
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Laboratory of Information, Network and Communication Sciences (LINCS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom Paris (IMT)-Sorbonne Université (SU), Inria Exploratory Action -- Information and Decision Making (IDEM), INRIA, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021)
Superior Title: https://inria.hal.science/hal-04181971 ; RR-9515, INRIA. 2023.
Subject Terms: Supervised Machine Learning, Worst-Case, Generalization Gap, Relative Entropy, Gibbs Algorithm, Sensitivity, Apprentissage automatique supervisé, pire cas, généralisation, entropie relative, algorithme de Gibbs, sensibilité, [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: Report N°: RR-9515; hal-04181971; https://inria.hal.science/hal-04181971; https://inria.hal.science/hal-04181971v2/document; https://inria.hal.science/hal-04181971v2/file/RR-9515.pdf
Availability:
https://inria.hal.science/hal-04181971
https://inria.hal.science/hal-04181971v2/document
https://inria.hal.science/hal-04181971v2/file/RR-9515.pdf
Contributors: Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), This work is supported in part by the University of Sheffield ACSE PGR scholarships, the Inria Exploratory Action -- Information and Decision Making (AEx IDEM), and in part by a grant from the C3.ai Digital Transformation Institute., INRIA, Centre Inria d'Université Côte d'Azur, Sophia Antipolis
Superior Title: https://hal.science/hal-04110899 ; RR-9508, INRIA, Centre Inria d'Université Côte d'Azur, Sophia Antipolis. 2023.
Subject Terms: Supervised Learning, Empirical Risk Minimization, Relative Entropy, Regulariza- tion, Gibbs Measure, Inductive Bias, Gibbs Algorithm, Sensitivity, Generalization, Apprentissage Supervisé, Minimisation du Risque Empirique, Entropie Relative, R\'{e}gularisation, Algorithme de Gibbs, Mesure de Gibbs, Sensitivité, Généralisation, [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Relation: Report N°: RR-9508; hal-04110899; https://hal.science/hal-04110899; https://hal.science/hal-04110899/document; https://hal.science/hal-04110899/file/RR9508.pdf
Availability:
https://hal.science/hal-04110899
https://hal.science/hal-04110899/document
https://hal.science/hal-04110899/file/RR9508.pdf
Authors: Zou, Xinying, Perlaza, Samir, M., Esnaola, Iñaki, Altman, Eitan
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), University of Sheffield Sheffield, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Laboratory of Information, Network and Communication Sciences (LINCS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom Paris (IMT)-Sorbonne Université (SU), Inria Exploratory Action -- Information and Decision Making (IDEM), INRIA, ANR-21-CE25-0013,PARFAIT,Planification et apprentissage pour AI-Edge Computing (PARFAIT)(2021)
Superior Title: https://inria.hal.science/hal-04181971 ; RR-9515, INRIA. 2023, pp.29.
Subject Terms: Supervised Machine Learning, Worst-Case, Generalization Gap, Relative Entropy, Gibbs Algorithm, Sensitivity, Apprentissage automatique supervisé, pire cas, généralisation, entropie relative, algorithme de Gibbs, sensibilité, [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: Report N°: RR-9515; hal-04181971; https://inria.hal.science/hal-04181971; https://inria.hal.science/hal-04181971/document; https://inria.hal.science/hal-04181971/file/INRIA-RR9515.pdf
Availability:
https://inria.hal.science/hal-04181971
https://inria.hal.science/hal-04181971/document
https://inria.hal.science/hal-04181971/file/INRIA-RR9515.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Department of Electrical and Computer Engineering Taiwan, National Chiao Tung University (NCTU)
Superior Title: https://hal.science/hal-03849748 ; 2023.
Subject Terms: Supervised Learning, PAC-Learning, Regularization, Relative Entropy, Empirical Risk Minimization, Gibbs Measure, Gibbs Algorithm, Generalization, Sensitivity, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
Relation: hal-03849748; https://hal.science/hal-03849748; https://hal.science/hal-03849748v3/document; https://hal.science/hal-03849748v3/file/DoubleColumn.pdf
Availability:
https://hal.science/hal-03849748
https://hal.science/hal-03849748v3/document
https://hal.science/hal-03849748v3/file/DoubleColumn.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Department of Electrical and Computer Engineering Taiwan, National Chiao Tung University (NCTU)
Superior Title: https://hal.science/hal-03849748 ; 2023.
Subject Terms: Supervised Learning, PAC-Learning, Regularization, Relative Entropy, Empirical Risk Minimization, Gibbs Measure, Gibbs Algorithm, Generalization, Sensitivity, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
Relation: hal-03849748; https://hal.science/hal-03849748; https://hal.science/hal-03849748v2/document; https://hal.science/hal-03849748v2/file/DoubleColumn.pdf
Availability:
https://hal.science/hal-03849748
https://hal.science/hal-03849748v2/document
https://hal.science/hal-03849748v2/file/DoubleColumn.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Department of Electrical and Computer Engineering Taiwan, National Chiao Tung University (NCTU), Inria
Superior Title: https://hal.science/hal-03560072 ; [Research Report] RR-9454, Inria. 2022.
Subject Terms: Relative Entropy, Empirical Risk Minimization, Gibbs Measure, Gibbs Algorithm, Generalization, Sensitivity, Supervised Learning, PAC-Learning, Regularization, Apprentissage Supervisé, Apprentissage PAC, Régularisation, Entropie Relative, Minimisation du Risque Empirique, Mesure de Gibbs, Algorithme de Gibbs, Généralisation, Sensitivité, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
Relation: Report N°: RR-9454; hal-03560072; https://hal.science/hal-03560072; https://hal.science/hal-03560072v7/document; https://hal.science/hal-03560072v7/file/INRIA-RR9454.pdf
Availability:
https://hal.science/hal-03560072
https://hal.science/hal-03560072v7/document
https://hal.science/hal-03560072v7/file/INRIA-RR9454.pdf
Contributors: Network Engineering and Operations (NEO ), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI), Université de la Polynésie Française (UPF), Department of Electrical and Computer Engineering Princeton (ECE), Princeton University, Department of Automatic Control and Systems Engineering Sheffield (ACSE), University of Sheffield Sheffield, Department of Electrical and Computer Engineering Taiwan, National Chiao Tung University (NCTU), Inria
Superior Title: https://hal.science/hal-03560072 ; [Research Report] RR-9454, Inria. 2022.
Subject Terms: Supervised Learning, PAC-Learning, Regularization, Relative Entropy, Empirical Risk Minimization, Gibbs Measure, Gibbs Algorithm, Generalization, Sensitivity, Apprentissage Supervisé, Apprentissage PAC, Régularisation, Entropie Relative, Minimisation du Risque Empirique, Mesure de Gibbs, Algorithme de Gibbs, Généralisation, Sensitivité, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]
Relation: Report N°: RR-9454; hal-03560072; https://hal.science/hal-03560072; https://hal.science/hal-03560072v5/document; https://hal.science/hal-03560072v5/file/INRIA-RR9454.pdf
Availability:
https://hal.science/hal-03560072
https://hal.science/hal-03560072v5/document
https://hal.science/hal-03560072v5/file/INRIA-RR9454.pdf