Hachem Kadri

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Kernel Machines

Laplace Beltrami

Top Venues

J. Mach. Learn. Res.

Publications

Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda, Hachem Kadri
-algebraic Kernel Machines. CoRR (2024)
Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. AISTATS (2024)
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
-Algebraic Machine Learning: Moving in a New Direction. CoRR (2024)
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. AISTATS (2023)
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator. CoRR (2023)
Nizar Demni, Hachem Kadri
Orthogonal Random Features: Explicit Forms and Sharp Inequalities. CoRR (2023)
Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine, Hachem Kadri
Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. CoRR (2023)
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Deep learning with kernels through RKHM and the Perron-Frobenius operator. NeurIPS (2023)
Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
Quantum perceptron revisited: Computational-statistical tradeoffs. UAI (2022)
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 (2022)
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 (2022)
Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
Cross-View kernel transfer. Pattern Recognit. 129 (2022)
Farah Cherfaoui, Hachem Kadri, Liva Ralaivola
Scalable Ridge Leverage Score Sampling for the Nyström Method. ICASSP (2022)
Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. CoRR (2022)
Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. ICML (2022)
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
-Algebraic Twist for Kernel Machines. CoRR (2022)
Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
Implicit Regularization in Deep Tensor Factorization. IJCNN (2021)
Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
Quantum Perceptron Revisited: Computational-Statistical Tradeoffs. CoRR (2021)
Riikka Huusari, Hachem Kadri
Entangled Kernels - Beyond Separability. CoRR (2021)
Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
Implicit Regularization in Deep Tensor Factorization. CoRR (2021)
Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu
Learning primal-dual sparse kernel machines. CoRR (2021)
Luc Giffon, Stéphane Ayache, Hachem Kadri, Thierry Artières, Ronan Sicre
PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. IJCNN (2021)
Luc Giffon, Valentin Emiya, Hachem Kadri, Liva Ralaivola
QuicK-means: accelerating inference for K-means by learning fast transforms. Mach. Learn. 110 (5) (2021)
Riikka Huusari, Hachem Kadri
Entangled Kernels - Beyond Separability. J. Mach. Learn. Res. 22 (2021)
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)
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
Partial Trace Regression and Low-Rank Kraus Decomposition. ICML (2020)
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
Partial Trace Regression and Low-Rank Kraus Decomposition. CoRR (2020)
Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola
Quantum bandits. Quantum Mach. Intell. 2 (1) (2020)
Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola
Quantum Bandits. CoRR (2020)
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. CoRR (2020)
Luc Giffon, Valentin Emiya, Liva Ralaivola, Hachem Kadri
QuicK-means: Acceleration of K-means by learning a fast transform. CoRR (2019)
Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri
Deep Networks with Adaptive Nyström Approximation. CoRR (2019)
Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
Kernel transfer over multiple views for missing data completion. CoRR (2019)
Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri
Deep Networks with Adaptive Nyström Approximation. IJCNN (2019)
Riikka Huusari, Hachem Kadri
Entangled Kernels. IJCAI (2019)
Riikka Huusari, Hachem Kadri, Cécile Capponi
Multi-view Metric Learning in Vector-valued Kernel Spaces. CoRR (2018)
Riikka Huusari, Hachem Kadri, Cécile Capponi
Multi-view Metric Learning in Vector-valued Kernel Spaces. AISTATS (2018)
Julien Audiffren, Hachem Kadri
m-Power regularized least squares regression. IJCNN (2017)
Guillaume Rabusseau, Hachem Kadri
Higher-Order Low-Rank Regression. CoRR (2016)
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 (2016)
Guillaume Rabusseau, Hachem Kadri
Low-Rank Regression with Tensor Responses. NIPS (2016)
Julien Audiffren, Hachem Kadri
Online Learning with Operator-valued Kernels. ESANN (2015)
Pierre-Olivier Amblard, Hachem Kadri
Operator-valued kernel recursive least squares algorithm. EUSIPCO (2015)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. CoRR (2015)
Julien Audiffren, Hachem Kadri
Equivalence of Learning Algorithms. CoRR (2014)
Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant
The Multi-Task Learning View of Multimodal Data. ACML (2013)
Julien Audiffren, Hachem Kadri
Stability of Multi-Task Kernel Regression Algorithms. ACML (2013)
Julien Audiffren, Hachem Kadri
Online Learning with Multiple Operator-valued Kernels. CoRR (2013)
Julien Audiffren, Hachem Kadri
M-Power Regularized Least Squares Regression. CoRR (2013)
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
A Generalized Kernel Approach to Structured Output Learning. ICML (1) (2013)
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
Functional Regularized Least Squares Classi cation with Operator-valued Kernels CoRR (2013)
Julien Audiffren, Hachem Kadri
Stability of Multi-Task Kernel Regression Algorithms. CoRR (2013)
Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
Multiple functional regression with both discrete and continuous covariates CoRR (2013)
Asma Rabaoui, Hachem Kadri, Manuel Davy
Nonparametric Bayesian supervised classification of functional data. ICASSP (2012)
Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
Multiple Operator-valued Kernel Learning. NIPS (2012)
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
A Generalized Kernel Approach to Structured Output Learning CoRR (2012)
Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
Multiple Operator-valued Kernel Learning CoRR (2012)
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML (2011)
Hachem Kadri, Emmanuel Duflos, Philippe Preux
Learning vocal tract variables with multi-task kernels. ICASSP (2011)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
Nonlinear functional regression: a functional RKHS approach. AISTATS (2010)
Hachem Kadri, Manuel Davy, Asma Rabaoui, Zied Lachiri, Noureddine Ellouze
Robust audio speaker segmentation using one class SVMS. EUSIPCO (2008)
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)
Hachem Kadri, Zied Lachiri, Noureddine Ellouze
Hybrid approach for unsupervised Audio Speaker Segmentation. EUSIPCO (2006)