Kadri, Hachem

21 publications

AISTATS 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières

TMLR 2024 Orthogonal Random Features: Explicit Forms and Sharp Inequalities Nizar Demni, Hachem Kadri

ICML 2024 Position: $c^*$-Algebraic Machine Learning $-$ Moving in a New Direction Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

NeurIPS 2023 Deep Learning with Kernels Through RKHM and the Perron-Frobenius Operator Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

AISTATS 2023 Learning in RKHM: A C*-Algebraic Twist for Kernel Machines Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

ICML 2022 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization Kais Hariz, Hachem Kadri, Stephane Ayache, Maher Moakher, Thierry Artieres

UAI 2022 Quantum Perceptron Revisited: Computational-Statistical Tradeoffs Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri

MLOSS 2022 Toolbox for Multimodal Learn (scikit-Multimodallearn) Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette

JMLR 2021 Entangled Kernels - Beyond Separability Riikka Huusari, Hachem Kadri

MLJ 2021 QuicK-Means: Accelerating Inference for K-Means by Learning Fast Transforms Luc Giffon, Valentin Emiya, Hachem Kadri, Liva Ralaivola

ICML 2020 Partial Trace Regression and Low-Rank Kraus Decomposition Hachem Kadri, Stephane Ayache, Riikka Huusari, Alain Rakotomamonjy, Ralaivola Liva

IJCAI 2019 Entangled Kernels Riikka Huusari, Hachem Kadri

AISTATS 2018 Multi-View Metric Learning in Vector-Valued Kernel Spaces Riikka Huusari, Hachem Kadri, Cécile Capponi

NeurIPS 2016 Low-Rank Regression with Tensor Responses Guillaume Rabusseau, Hachem Kadri

JMLR 2016 Operator-Valued Kernels for Learning from Functional Response Data Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren

ICML 2013 A Generalized Kernel Approach to Structured Output Learning Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux

ACML 2013 Stability of Multi-Task Kernel Regression Algorithms Julien Audiffren, Hachem Kadri

ACML 2013 The Multi-Task Learning View of Multimodal Data Hachem Kadri, Stephane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant

NeurIPS 2012 Multiple Operator-Valued Kernel Learning Hachem Kadri, Alain Rakotomamonjy, Philippe Preux, Francis R. Bach

ICML 2011 Functional Regularized Least Squares Classication with Operator-Valued Kernels Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy

AISTATS 2010 Nonlinear Functional Regression: A Functional RKHS Approach Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy