default search action
Hachem Kadri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c29]Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières:
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. AISTATS 2024: 2359-2367 - [c28]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
Position: C∗-Algebraic Machine Learning - Moving in a New Direction. ICML 2024 - [c27]Hamed Benazha, Stéphane Ayache, Hachem Kadri, Thierry Artières:
Measuring hallucination in disentangled representations. IJCNN 2024: 1-8 - [i29]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
C*-Algebraic Machine Learning: Moving in a New Direction. CoRR abs/2402.02637 (2024) - [i28]Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda, Hachem Kadri:
Spectral Truncation Kernels: Noncommutativity in C*-algebraic Kernel Machines. CoRR abs/2405.17823 (2024) - 2023
- [c26]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. AISTATS 2023: 692-708 - [c25]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
Deep learning with kernels through RKHM and the Perron-Frobenius operator. NeurIPS 2023 - [i27]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator. CoRR abs/2305.13588 (2023) - [i26]Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine, Hachem Kadri:
Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. CoRR abs/2306.09444 (2023) - [i25]Nizar Demni, Hachem Kadri:
Orthogonal Random Features: Explicit Forms and Sharp Inequalities. CoRR abs/2310.07370 (2023) - 2022
- [j7]Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette:
Toolbox for Multimodal Learn (scikit-multimodallearn). J. Mach. Learn. Res. 23: 51:1-51:7 (2022) - [j6]Riikka Huusari
, Cécile Capponi, Paul Villoutreix
Cross-View kernel transfer. Pattern Recognit. 129: 108759 (2022) - [c24]Farah Cherfaoui, Hachem Kadri, Liva Ralaivola:
Scalable Ridge Leverage Score Sampling for the Nyström Method. ICASSP 2022: 4163-4167 - [c23]Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières:
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. ICML 2022: 8484-8501 - [c22]Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri:
Quantum perceptron revisited: Computational-statistical tradeoffs. UAI 2022: 1697-1706 - [i24]Mathieu Roget, Hachem Kadri, Giuseppe Di Molfetta:
Spatial search with multiple marked vertices is optimal for almost all queries and its quantum advantage is not always guaranteed. CoRR abs/2201.12937 (2022) - [i23]Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières:
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. CoRR abs/2207.08942 (2022) - [i22]Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri:
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. CoRR abs/2210.11855 (2022) - 2021
- [j5]Riikka Huusari, Hachem Kadri:
Entangled Kernels - Beyond Separability. J. Mach. Learn. Res. 22: 24:1-24:40 (2021) - [j4]Luc Giffon
QuicK-means: accelerating inference for K-means by learning fast transforms. Mach. Learn. 110(5): 881-905 (2021) - [c21]Luc Giffon, Stéphane Ayache, Hachem Kadri, Thierry Artières, Ronan Sicre:
PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. IJCNN 2021: 1-8 - [c20]Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières:
Implicit Regularization in Deep Tensor Factorization. IJCNN 2021: 1-8 - [i21]Riikka Huusari, Hachem Kadri:
Entangled Kernels - Beyond Separability. CoRR abs/2101.05514 (2021) - [i20]Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
Implicit Regularization in Deep Tensor Factorization. CoRR abs/2105.01346 (2021) - [i19]Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri:
Quantum Perceptron Revisited: Computational-Statistical Tradeoffs. CoRR abs/2106.02496 (2021) - [i18]Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu:
Learning primal-dual sparse kernel machines. CoRR abs/2108.12199 (2021) - 2020
- [j3]Balthazar Casalé, Giuseppe Di Molfetta
Quantum bandits. Quantum Mach. Intell. 2(1): 1-7 (2020) - [c19]Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola:
Partial Trace Regression and Low-Rank Kraus Decomposition. ICML 2020: 5031-5041 - [c18]Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart:
Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN 2020: 1-8 - [i17]Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola:
Quantum Bandits. CoRR abs/2002.06395 (2020) - [i16]Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières
Mapping individual differences in cortical architecture using multi-view representation learning. CoRR abs/2004.02804 (2020) - [i15]Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola:
Partial Trace Regression and Low-Rank Kraus Decomposition. CoRR abs/2007.00935 (2020)
2010 – 2019
- 2019
- [c17]Riikka Huusari, Hachem Kadri:
Entangled Kernels. IJCAI 2019: 2578-2584 - [c16]Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri:
Deep Networks with Adaptive Nyström Approximation. IJCNN 2019: 1-8 - [i14]Luc Giffon, Valentin Emiya
QuicK-means: Acceleration of K-means by learning a fast transform. CoRR abs/1908.08713 (2019) - [i13]Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri:
Kernel transfer over multiple views for missing data completion. CoRR abs/1910.05964 (2019) - [i12]Luc Giffon, Stéphane Ayache, Thierry Artières
Deep Networks with Adaptive Nyström Approximation. CoRR abs/1911.13036 (2019) - 2018
- [c15]Riikka Huusari, Hachem Kadri, Cécile Capponi:
Multi-view Metric Learning in Vector-valued Kernel Spaces. AISTATS 2018: 415-424 - [i11]Riikka Huusari, Hachem Kadri, Cécile Capponi:
Multi-view Metric Learning in Vector-valued Kernel Spaces. CoRR abs/1803.07821 (2018) - 2017
- [c14]Julien Audiffren
m-Power regularized least squares regression. IJCNN 2017: 1080-1086 - 2016
- [j2]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. 17: 20:1-20:54 (2016) - [c13]Guillaume Rabusseau, Hachem Kadri:
Low-Rank Regression with Tensor Responses. NIPS 2016: 1867-1875 - [i10]Guillaume Rabusseau, Hachem Kadri:
Higher-Order Low-Rank Regression. CoRR abs/1602.06863 (2016) - 2015
- [c12]Julien Audiffren, Hachem Kadri:
Online Learning with Operator-valued Kernels. ESANN 2015 - [c11]Pierre-Olivier Amblard, Hachem Kadri:
Operator-valued kernel recursive least squares algorithm. EUSIPCO 2015: 2376-2380 - [i9]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. CoRR abs/1510.08231 (2015) - 2014
- [i8]Julien Audiffren, Hachem Kadri:
Equivalence of Learning Algorithms. CoRR abs/1406.2622 (2014) - 2013
- [c10]Julien Audiffren, Hachem Kadri:
Stability of Multi-Task Kernel Regression Algorithms. ACML 2013: 1-16 - [c9]Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant:
The Multi-Task Learning View of Multimodal Data. ACML 2013: 261-276 - [c8]Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux:
A Generalized Kernel Approach to Structured Output Learning. ICML (1) 2013: 471-479 - [i7]Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy:
Functional Regularized Least Squares Classi cation with Operator-valued Kernels. CoRR abs/1301.2655 (2013) - [i6]Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu:
Multiple functional regression with both discrete and continuous covariates. CoRR abs/1301.2656 (2013) - [i5]Julien Audiffren, Hachem Kadri:
Stability of Multi-Task Kernel Regression Algorithms. CoRR abs/1306.3905 (2013) - [i4]Julien Audiffren, Hachem Kadri:
M-Power Regularized Least Squares Regression. CoRR abs/1310.2451 (2013) - [i3]Julien Audiffren, Hachem Kadri:
Online Learning with Multiple Operator-valued Kernels. CoRR abs/1311.0222 (2013) - 2012
- [c7]Asma Rabaoui, Hachem Kadri, Manuel Davy:
Nonparametric Bayesian supervised classification of functional data. ICASSP 2012: 3381-3384 - [c6]Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux:
Multiple Operator-valued Kernel Learning. NIPS 2012: 2438-2446 - [i2]Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux:
Multiple Operator-valued Kernel Learning. CoRR abs/1203.1596 (2012) - [i1]Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux:
A Generalized Kernel Approach to Structured Output Learning. CoRR abs/1205.2171 (2012) - 2011
- [c5]Hachem Kadri, Emmanuel Duflos, Philippe Preux:
Learning vocal tract variables with multi-task kernels. ICASSP 2011: 2200-2203 - [c4]Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy:
Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML 2011: 993-1000 - 2010
- [c3]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy:
Nonlinear functional regression: a functional RKHS approach. AISTATS 2010: 374-380
2000 – 2009
- 2008
- [j1]Asma Rabaoui, Hachem Kadri, Zied Lachiri, Noureddine Ellouze:
One-Class SVMs Challenges in Audio Detection and Classification Applications. EURASIP J. Adv. Signal Process. 2008 (2008) - [c2]Hachem Kadri, Manuel Davy, Asma Rabaoui, Zied Lachiri, Noureddine Ellouze:
Robust audio speaker segmentation using one class SVMS. EUSIPCO 2008: 1-5 - 2006
- [c1]Hachem Kadri, Zied Lachiri, Noureddine Ellouze:
Hybrid approach for unsupervised Audio Speaker Segmentation. EUSIPCO 2006: 1-5
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-21 01:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: