The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program . You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
Stéphane Boucheron , Olivier Bousquet , Gábor Lugosi
ESAIM: PS, 9 (2005) 323-375
Published online: 2005-11-15
This article has been cited by the following article(s):
196 articles | Pages:
For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability
Akshay Rangamani, Lorenzo Rosasco and Tomaso Poggio Analysis and Applications 21 (01) 193 (2023) https://doi.org/10.1142/S0219530522400115
Positive-Unlabeled Learning With Label Distribution Alignment
Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao and Qingming Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12) 15345 (2023) https://doi.org/10.1109/TPAMI.2023.3319431
Learning From Heterogeneous Data Based on Social Interactions Over Graphs
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta and Ali H. Sayed IEEE Transactions on Information Theory 69 (5) 3347 (2023) https://doi.org/10.1109/TIT.2022.3232368
Error scaling laws for kernel classification under source and capacity conditions
Hugo Cui, Bruno Loureiro, Florent Krzakala and Lenka Zdeborová Machine Learning: Science and Technology 4 (3) 035033 (2023) https://doi.org/10.1088/2632-2153/acf041
Hold-out estimates of prediction models for Markov processes
Remy Garnier, Raphaël Langhendries and Joseph Rynkiewicz Statistics 57 (2) 458 (2023) https://doi.org/10.1080/02331888.2023.2183203
Paolo Pellizzoni and Fabio Vandin 2470 (2023) https://doi.org/10.1109/ICDE55515.2023.00190
Exponential Savings in Agnostic Active Learning Through Abstention
Nikita Puchkin and Nikita Zhivotovskiy IEEE Transactions on Information Theory 68 (7) 4651 (2022) https://doi.org/10.1109/TIT.2022.3156592
SVRG meets AdaGrad: painless variance reduction
Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt and Simon Lacoste-Julien Machine Learning 111 (12) 4359 (2022) https://doi.org/10.1007/s10994-022-06265-x
gRosSo: mining statistically robust patterns from a sequence of datasets
Andrea Tonon and Fabio Vandin Knowledge and Information Systems 64 (9) 2329 (2022) https://doi.org/10.1007/s10115-022-01689-2
Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming
Hoai An Le Thi, Van Ngai Huynh, Tao Pham Dinh and Hoang Phuc Hau Luu SIAM Journal on Optimization 32 (3) 2263 (2022) https://doi.org/10.1137/20M1385706
Statistical learning from biased training samples
Stephan Clémençon and Pierre Laforgue Electronic Journal of Statistics 16 (2) (2022) https://doi.org/10.1214/22-EJS2084
Percolation centrality via Rademacher Complexity
Alane M. de Lima, Murilo V.G. da Silva and André L. Vignatti Discrete Applied Mathematics 323 201 (2022) https://doi.org/10.1016/j.dam.2021.07.023
How Can We Identify the Sparsity Structure Pattern of High-Dimensional Data: an Elementary Statistical Analysis to Interpretable Machine Learning
K. L. Lu Mathematical Notes 112 (1-2) 223 (2022) https://doi.org/10.1134/S0001434622070264
Using Locality-Sensitive Hashing for SVM Classification of Large Data Sets
Maria D. Gonzalez-Lima and Carenne C. Ludeña Mathematics 10 (11) 1812 (2022) https://doi.org/10.3390/math10111812
Statistical analysis of Mapper for stochastic and multivariate filters
Mathieu Carrière and Bertrand Michel Journal of Applied and Computational Topology 6 (3) 331 (2022) https://doi.org/10.1007/s41468-022-00090-w
Depth Separations in Neural Networks: What is Actually Being Separated?
Itay Safran, Ronen Eldan and Ohad Shamir Constructive Approximation 55 (1) 225 (2022) https://doi.org/10.1007/s00365-021-09532-7
Machine Learning–Based Feasibility Checks for Dynamic Time Slot Management
Liana van der Hagen, Niels Agatz, Remy Spliet, Thomas R. Visser and Leendert Kok Transportation Science (2022) https://doi.org/10.1287/trsc.2022.1183
Machine Learning-Based Feasability Checks for Dynamic Time Slot Management
Liana van der Hagen, Niels A.H. Agatz, Remy Spliet, Thomas Visser and Adrianus Kok SSRN Electronic Journal (2022) https://doi.org/10.2139/ssrn.4011237
Machine Learning Mitigants for Speech Based Cyber Risk
Marta Campi, Gareth W. Peters, Nourddine Azzaoui and Tomoko Matsui IEEE Access 9 136831 (2021) https://doi.org/10.1109/ACCESS.2021.3117080
How isotropic kernels perform on simple invariants
Jonas Paccolat, Stefano Spigler and Matthieu Wyart Machine Learning: Science and Technology 2 (2) 025020 (2021) https://doi.org/10.1088/2632-2153/abd485
Model Selection for Treatment Choice: Penalized Welfare Maximization
Eric Mbakop and Max Tabord-Meehan Econometrica 89 (2) 825 (2021) https://doi.org/10.3982/ECTA16437
Neural network approximation
Ronald DeVore, Boris Hanin and Guergana Petrova Acta Numerica 30 327 (2021) https://doi.org/10.1017/S0962492921000052
Learning bounds for quantum circuits in the agnostic setting
Claudiu Marius Popescu Quantum Information Processing 20 (9) (2021) https://doi.org/10.1007/s11128-021-03225-7
Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord and Herve Jegou 854 (2021) https://doi.org/10.1109/ICCV48922.2021.00091
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta and Ali H. Sayed 5185 (2021) https://doi.org/10.1109/ICASSP39728.2021.9414126
Hamza Turabieh and Wahiba Ben Abdessalem Karaa 1 (2021) https://doi.org/10.1109/WiDSTaif52235.2021.9430233
Weibin Mo and Yufeng Liu 1 (2021) https://doi.org/10.1002/9781118445112.stat08302
Binary classification with covariate selection through ℓ0-penalised empirical risk minimisation
Le-Yu Chen and Sokbae Lee The Econometrics Journal 24 (1) 103 (2021) https://doi.org/10.1093/ectj/utaa017
A refined denoising method for noisy phase-shifting interference fringe patterns
E. Z. Omar Optical and Quantum Electronics 53 (8) (2021) https://doi.org/10.1007/s11082-021-03106-4
Random projections: Data perturbation for classification problems
Timothy I. Cannings WIREs Computational Statistics 13 (1) (2021) https://doi.org/10.1002/wics.1499
A novel multi-objective forest optimization algorithm for wrapper feature selection
Babak Nouri-Moghaddam, Mehdi Ghazanfari and Mohammad Fathian Expert Systems with Applications 175 114737 (2021) https://doi.org/10.1016/j.eswa.2021.114737
Robust k-means clustering for distributions with two moments
Yegor Klochkov, Alexey Kroshnin and Nikita Zhivotovskiy The Annals of Statistics 49 (4) (2021) https://doi.org/10.1214/20-AOS2033
Concentration inequalities for two-sample rank processes with application to bipartite ranking
Stephan Clémençon, Myrto Limnios and Nicolas Vayatis Electronic Journal of Statistics 15 (2) (2021) https://doi.org/10.1214/21-EJS1907
Belief polarization in a complex world: A learning theory perspective
Nika Haghtalab, Matthew O. Jackson and Ariel D. Procaccia Proceedings of the National Academy of Sciences 118 (19) (2021) https://doi.org/10.1073/pnas.2010144118
Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules
Sh. Kh. Ishkina and K. V. Vorontsov Automation and Remote Control 82 (5) 863 (2021) https://doi.org/10.1134/S0005117921050106
Multiclass Classification by Sparse Multinomial Logistic Regression
Felix Abramovich, Vadim Grinshtein and Tomer Levy IEEE Transactions on Information Theory 67 (7) 4637 (2021) https://doi.org/10.1109/TIT.2021.3075137
Fast classification rates without standard margin assumptions
Olivier Bousquet and Nikita Zhivotovskiy Information and Inference: A Journal of the IMA 10 (4) 1389 (2021) https://doi.org/10.1093/imaiai/iaab010
An empirical classification procedure for nonparametric mixture models
Qiang Zhao, Rohana J. Karunamuni and Jingjing Wu Journal of the Korean Statistical Society 49 (3) 924 (2020) https://doi.org/10.1007/s42952-019-00043-7
Tightening Mutual Information-Based Bounds on Generalization Error
Yuheng Bu, Shaofeng Zou and Venugopal V. Veeravalli IEEE Journal on Selected Areas in Information Theory 1 (1) 121 (2020) https://doi.org/10.1109/JSAIT.2020.2991139
Robust statistical learning with Lipschitz and convex loss functions
Geoffrey Chinot, Guillaume Lecué and Matthieu Lerasle Probability Theory and Related Fields 176 (3-4) 897 (2020) https://doi.org/10.1007/s00440-019-00931-3
Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Diego Santoro, Andrea Tonon and Fabio Vandin Algorithms 13 (5) 123 (2020) https://doi.org/10.3390/a13050123
When are epsilon-nets small?
Andrey Kupavskii and Nikita Zhivotovskiy Journal of Computer and System Sciences 110 22 (2020) https://doi.org/10.1016/j.jcss.2019.12.006
Local nearest neighbour classification with applications to semi-supervised learning
Timothy I. Cannings, Thomas B. Berrett and Richard J. Samworth The Annals of Statistics 48 (3) (2020) https://doi.org/10.1214/19-AOS1868
Andrea Tonon and Fabio Vandin 551 (2020) https://doi.org/10.1109/ICDM50108.2020.00064
Machine Learning Mitigants for Speech Based Cyber Risk
Marta Campi, Gareth Peters and Nourddine Azzaoui SSRN Electronic Journal (2020) https://doi.org/10.2139/ssrn.3643826
Optimal functional supervised classification with separation condition
Sébastien Gadat, Sébastien Gerchinovitz and Clément Marteau Bernoulli 26 (3) (2020) https://doi.org/10.3150/19-BEJ1170
Accurate automatic detection of acute lymphatic leukemia using a refined simple classification
F. E. Al‐Tahhan, M. E. Fares, Ali A. Sakr and Doaa A. Aladle Microscopy Research and Technique 83 (10) 1178 (2020) https://doi.org/10.1002/jemt.23509
Investigation and classification of fibre deformation using interferometric and machine learning techniques
E. Z. Omar Applied Physics B 126 (4) (2020) https://doi.org/10.1007/s00340-020-7399-1
Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification
Konrad Furmańczyk and Wojciech Rejchel Entropy 22 (5) 543 (2020) https://doi.org/10.3390/e22050543
Advances in Intelligent Data Analysis XVIII
Alexander Mey, Tom Julian Viering and Marco Loog Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XVIII 12080 326 (2020) https://doi.org/10.1007/978-3-030-44584-3_26
Thomas Vacek 1 (2020) https://doi.org/10.1109/IJCNN48605.2020.9207004
Robust classification via MOM minimization
Guillaume Lecué, Matthieu Lerasle and Timlothée Mathieu Machine Learning 109 (8) 1635 (2020) https://doi.org/10.1007/s10994-019-05863-6
Thanh Tung Khuat, Fang Chen and Bogdan Gabrys 1 (2020) https://doi.org/10.1109/IJCNN48605.2020.9207534
Optimal survey schemes for stochastic gradient descent with applications to M-estimation
Stephan Clémençon, Patrice Bertail, Emilie Chautru and Guillaume Papa ESAIM: Probability and Statistics 23 310 (2019) https://doi.org/10.1051/ps/2018021
Classification with many classes: Challenges and pluses
Felix Abramovich and Marianna Pensky Journal of Multivariate Analysis 174 104536 (2019) https://doi.org/10.1016/j.jmva.2019.104536
Integration of Low Carbon Technologies in Smart Grids
Donato Zarrilli Springer Theses, Integration of Low Carbon Technologies in Smart Grids 5 (2019) https://doi.org/10.1007/978-3-319-98358-5_2
Yuheng Bu, Shaofeng Zou and Venugopal V. Veeravalli 587 (2019) https://doi.org/10.1109/ISIT.2019.8849590
Hamza Turabieh 1 (2019) https://doi.org/10.1109/ICTCS.2019.8923093
Cause Effect Pairs in Machine Learning
Diviyan Kalainathan, Olivier Goudet, Michèle Sebag and Isabelle Guyon The Springer Series on Challenges in Machine Learning, Cause Effect Pairs in Machine Learning 155 (2019) https://doi.org/10.1007/978-3-030-21810-2_4
Multi-scale characterizations of colon polyps via computed tomographic colonography
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, et al. Visual Computing for Industry, Biomedicine, and Art 2 (1) (2019) https://doi.org/10.1186/s42492-019-0032-7
Relative deviation learning bounds and generalization with unbounded loss functions
Corinna Cortes, Spencer Greenberg and Mehryar Mohri Annals of Mathematics and Artificial Intelligence 85 (1) 45 (2019) https://doi.org/10.1007/s10472-018-9613-y
Binary classification in unstructured space with hypergraph case-based reasoning
Alexandre Quemy Information Systems 85 92 (2019) https://doi.org/10.1016/j.is.2019.03.005
High-Dimensional Classification by Sparse Logistic Regression
Felix Abramovich and Vadim Grinshtein IEEE Transactions on Information Theory 65 (5) 3068 (2019) https://doi.org/10.1109/TIT.2018.2884963
Chemical machine learning with kernels: The impact of loss functions
Quang Van Nguyen, Sandip De, Junhong Lin and Volkan Cevher International Journal of Quantum Chemistry 119 (9) (2019) https://doi.org/10.1002/qua.25872
Convergence Conditions for the Observed Mean Method in Stochastic Programming
P. S. Knopov and V. I. Norkin Cybernetics and Systems Analysis 54 (1) 45 (2018) https://doi.org/10.1007/s10559-018-0006-3
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis
Francesca Cipollini, Luca Oneto, Andrea Coraddu, Alan John Murphy and Davide Anguita Ocean Engineering 149 268 (2018) https://doi.org/10.1016/j.oceaneng.2017.12.002
Strong Lp convergence of wavelet deconvolution density estimators
Youming Liu and Xiaochen Zeng Analysis and Applications 16 (02) 183 (2018) https://doi.org/10.1142/S0219530517500154
ABRA
Matteo Riondato and Eli Upfal ACM Transactions on Knowledge Discovery from Data 12 (5) 1 (2018) https://doi.org/10.1145/3208351
Testing piecewise functions
Steve Hanneke and Liu Yang Theoretical Computer Science 745 23 (2018) https://doi.org/10.1016/j.tcs.2018.05.019
PAC-Bayesian high dimensional bipartite ranking
Benjamin Guedj and Sylvain Robbiano Journal of Statistical Planning and Inference 196 70 (2018) https://doi.org/10.1016/j.jspi.2017.10.010
Localization of VC classes: Beyond local Rademacher complexities
N. Zhivotovskiy and S. Hanneke Theoretical Computer Science 742 27 (2018) https://doi.org/10.1016/j.tcs.2017.12.029
Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction
Eddie Aamari and Clément Levrard Discrete & Computational Geometry 59 (4) 923 (2018) https://doi.org/10.1007/s00454-017-9962-z
Matias Vera, Pablo Piantanida and Leonardo Rey Vega 1580 (2018) https://doi.org/10.1109/ISIT.2018.8437679
The Power of Localization for Efficiently Learning Linear Separators with Noise
Pranjal Awasthi, Maria Florina Balcan and Philip M. Long Journal of the ACM 63 (6) 1 (2017) https://doi.org/10.1145/3006384
Sampling and empirical risk minimization
Stephan Clémençon, Patrice Bertail and Emilie Chautru Statistics 51 (1) 30 (2017) https://doi.org/10.1080/02331888.2016.1259810
Concentration Inequalities for Samples without Replacement
I. O. Tolstikhin Theory of Probability & Its Applications 61 (3) 462 (2017) https://doi.org/10.1137/S0040585X97T988277
Research and Application of SVM Model Based on Privileged Information
颖 曹 Advances in Applied Mathematics 06 (09) 1248 (2017) https://doi.org/10.12677/AAM.2017.69150
Encyclopedia of Machine Learning and Data Mining
Mark Reid Encyclopedia of Machine Learning and Data Mining 556 (2017) https://doi.org/10.1007/978-1-4899-7687-1_328
Alex G. C. de Sá, Gisele L. Pappa and Alex A. Freitas 1125 (2017) https://doi.org/10.1145/3067695.3082053
Imanol Bilbao and Javier Bilbao 173 (2017) https://doi.org/10.1109/INTELCIS.2017.8260032
Nataliia Kozlovskaia and Alexey Zaytsev 908 (2017) https://doi.org/10.1109/ICMLA.2017.00-39
A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques
Nicola Bui, Matteo Cesana, S. Amir Hosseini, et al. IEEE Communications Surveys & Tutorials 19 (3) 1790 (2017) https://doi.org/10.1109/COMST.2017.2694140
Entropy “2”-Soft Classification of Objects
Yuri Popkov, Zeev Volkovich, Yuri Dubnov, Renata Avros and Elena Ravve Entropy 19 (4) 178 (2017) https://doi.org/10.3390/e19040178
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension
Lee-Ad Gottlieb, Aryeh Kontorovich and Robert Krauthgamer IEEE Transactions on Information Theory 63 (8) 4838 (2017) https://doi.org/10.1109/TIT.2017.2713820
Encyclopedia of Machine Learning and Data Mining
Xinhua Zhang Encyclopedia of Machine Learning and Data Mining 1083 (2017) https://doi.org/10.1007/978-1-4899-7687-1_718
Optimal Rates for the Regularized Learning Algorithms under General Source Condition
Abhishake Rastogi and Sivananthan Sampath Frontiers in Applied Mathematics and Statistics 3 (2017) https://doi.org/10.3389/fams.2017.00003
Advances in Multimedia Information Processing - PCM 2016
Xiang-Jun Shen, Wen-Chao Zhang, Wei Cai, et al. Lecture Notes in Computer Science, Advances in Multimedia Information Processing - PCM 2016 9916 211 (2016) https://doi.org/10.1007/978-3-319-48890-5_21
Yu. S. Popkov, Yu. A. Dubnov and A. Yu. Popkov 27 (2016) https://doi.org/10.1109/IS.2016.7737456
Classification in general finite dimensional spaces with the k-nearest neighbor rule
Sébastien Gadat, Thierry Klein and Clément Marteau The Annals of Statistics 44 (3) (2016) https://doi.org/10.1214/15-AOS1395
Matteo Riondato and Eli Upfal 1145 (2016) https://doi.org/10.1145/2939672.2939770
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel
Weiguang Wang, Yingbin Liang, Eric P. Xing and Lixin Shen IEEE Transactions on Signal Processing 64 (2) 306 (2016) https://doi.org/10.1109/TSP.2015.2474297
Encyclopedia of Machine Learning and Data Mining
Xinhua Zhang Encyclopedia of Machine Learning and Data Mining 1 (2016) https://doi.org/10.1007/978-1-4899-7502-7_718-1
Algorithmic Learning Theory
Nikita Zhivotovskiy and Steve Hanneke Lecture Notes in Computer Science, Algorithmic Learning Theory 9925 18 (2016) https://doi.org/10.1007/978-3-319-46379-7_2
Moritz Hardt, Nimrod Megiddo, Christos Papadimitriou and Mary Wootters 111 (2016) https://doi.org/10.1145/2840728.2840730
Bidding Wind Energy Exploiting Wind Speed Forecasts
Antonio Giannitrapani, Simone Paoletti, Antonio Vicino and Donato Zarrilli IEEE Transactions on Power Systems 31 (4) 2647 (2016) https://doi.org/10.1109/TPWRS.2015.2477942
Неравенства концентрации для выборок без возвращений
Ilya O Tolstikhin and Илья Олегович Толстихин Теория вероятностей и ее применения 61 (3) 464 (2016) https://doi.org/10.4213/tvp5069
Tao Yang, Dongmei Fu and Lian Hao 1461 (2016) https://doi.org/10.1109/SICE.2016.7749177
Minimax fast rates for discriminant analysis with errors in variables
Sébastien Loustau and Clément Marteau Bernoulli 21 (1) (2015) https://doi.org/10.3150/13-BEJ564
Bandwidth selection in kernel empirical risk minimization via the gradient
Michaël Chichignoud and Sébastien Loustau The Annals of Statistics 43 (4) (2015) https://doi.org/10.1214/15-AOS1318
Matteo Riondato and Eli Upfal 1005 (2015) https://doi.org/10.1145/2783258.2783265
Pages:
1 to 100 of 196 articles