Hachem Kadri - RankMe

69 papers A* 6A 5B 7C 2Misc 3Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benign Overfitting with Quantum Kernels. CoRR Joachim Tomasi, Sandrine Anthoine, Hachem Kadri
2025	J	`jnl`	On Quantum Perceptron Learning via Quantum Search. CoRR Xiaoyu Sun, Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
2025	J	`jnl`	Towards Quantum Operator-Valued Kernels. CoRR Hachem Kadri, Joachim Tomasi, Yuka Hashimoto, Sandrine Anthoine
2024	J	`jnl`	C CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2024	A	`conf`	Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. AISTATS Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
2024	B	`conf`	Measuring hallucination in disentangled representations. IJCNN Hamed Benazha, Stéphane Ayache, Hachem Kadri, Thierry Artières
2024	J	`jnl`	Orthogonal Random Features: Explicit Forms and Sharp Inequalities. Trans. Mach. Learn. Res. Nizar Demni, Hachem Kadri
2024	A*	`conf`	Position: C∗-Algebraic Machine Learning - Moving in a New Direction. ICML Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2024	J	`jnl`	Spectral Truncation Kernels: Noncommutativity in C CoRR Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda, Hachem Kadri
2023	J	`jnl`	Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator. CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2023	A*	`conf`	Deep learning with kernels through RKHM and the Perron-Frobenius operator. NeurIPS Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2023	J	`jnl`	Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens. CoRR Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine, Hachem Kadri
2023	A	`conf`	Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. AISTATS Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2023	J	`jnl`	Orthogonal Random Features: Explicit Forms and Sharp Inequalities. CoRR Nizar Demni, Hachem Kadri
2022	J	`jnl`	Cross-View kernel transfer. Pattern Recognit. Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
2022	A*	`conf`	Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. ICML Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
2022	J	`jnl`	Implicit Regularization with Polynomial Growth in Deep Tensor Factorization. CoRR Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières
2022	J	`jnl`	Learning in RKHM: a C CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2022	A	`conf`	Quantum perceptron revisited: Computational-statistical tradeoffs. UAI Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
2022	Misc	`conf`	Scalable Ridge Leverage Score Sampling for the Nyström Method. ICASSP Farah Cherfaoui, Hachem Kadri, Liva Ralaivola
2022	J	`jnl`	Spatial search with multiple marked vertices is optimal for almost all queries and its quantum advantage is not always guaranteed. CoRR Mathieu Roget, Hachem Kadri, Giuseppe Di Molfetta
2022	J	`jnl`	Toolbox for Multimodal Learn (scikit-multimodallearn). J. Mach. Learn. Res. Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette
2021	J	`jnl`	Entangled Kernels - Beyond Separability. CoRR Riikka Huusari, Hachem Kadri
2021	J	`jnl`	Entangled Kernels - Beyond Separability. J. Mach. Learn. Res. Riikka Huusari, Hachem Kadri
2021	B	`conf`	Implicit Regularization in Deep Tensor Factorization. IJCNN Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
2021	J	`jnl`	Implicit Regularization in Deep Tensor Factorization. CoRR Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
2021	J	`jnl`	Learning primal-dual sparse kernel machines. CoRR Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu
2021	B	`conf`	PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. IJCNN Luc Giffon, Stéphane Ayache, Hachem Kadri, Thierry Artières, Ronan Sicre
2021	J	`jnl`	Quantum Perceptron Revisited: Computational-Statistical Tradeoffs. CoRR Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
2021	J	`jnl`	QuicK-means: accelerating inference for K-means by learning fast transforms. Mach. Learn. Luc Giffon, Valentin Emiya, Hachem Kadri, Liva Ralaivola
2020	B	`conf`	Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2020	J	`jnl`	Mapping individual differences in cortical architecture using multi-view representation learning. CoRR Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2020	A*	`conf`	Partial Trace Regression and Low-Rank Kraus Decomposition. ICML Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
2020	J	`jnl`	Partial Trace Regression and Low-Rank Kraus Decomposition. CoRR Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
2020	J	`jnl`	Quantum Bandits. CoRR Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola
2020	J	`jnl`	Quantum bandits. Quantum Mach. Intell. Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola
2019	B	`conf`	Deep Networks with Adaptive Nyström Approximation. IJCNN Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri
2019	J	`jnl`	Deep Networks with Adaptive Nyström Approximation. CoRR Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri
2019	A*	`conf`	Entangled Kernels. IJCAI Riikka Huusari, Hachem Kadri
2019	J	`jnl`	Kernel transfer over multiple views for missing data completion. CoRR Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
2019	J	`jnl`	QuicK-means: Acceleration of K-means by learning a fast transform. CoRR Luc Giffon, Valentin Emiya, Liva Ralaivola, Hachem Kadri
2018	A	`conf`	Multi-view Metric Learning in Vector-valued Kernel Spaces. AISTATS Riikka Huusari, Hachem Kadri, Cécile Capponi
2018	J	`jnl`	Multi-view Metric Learning in Vector-valued Kernel Spaces. CoRR Riikka Huusari, Hachem Kadri, Cécile Capponi
2017	B	`conf`	m-Power regularized least squares regression. IJCNN Julien Audiffren, Hachem Kadri
2016	J	`jnl`	Higher-Order Low-Rank Regression. CoRR Guillaume Rabusseau, Hachem Kadri
2016	—	`conf`	Low-Rank Regression with Tensor Responses. NIPS Guillaume Rabusseau, Hachem Kadri
2016	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2015	B	`conf`	Online Learning with Operator-valued Kernels. ESANN Julien Audiffren, Hachem Kadri
2015	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. CoRR Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2015	—	`conf`	Operator-valued kernel recursive least squares algorithm. EUSIPCO Pierre-Olivier Amblard, Hachem Kadri
2014	J	`jnl`	Equivalence of Learning Algorithms. CoRR Julien Audiffren, Hachem Kadri
2013	—	`conf`	A Generalized Kernel Approach to Structured Output Learning. ICML (1) Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
2013	J	`jnl`	Functional Regularized Least Squares Classi cation with Operator-valued Kernels CoRR Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
2013	J	`jnl`	M-Power Regularized Least Squares Regression. CoRR Julien Audiffren, Hachem Kadri
2013	J	`jnl`	Multiple functional regression with both discrete and continuous covariates CoRR Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
2013	J	`jnl`	Online Learning with Multiple Operator-valued Kernels. CoRR Julien Audiffren, Hachem Kadri
2013	C	`conf`	Stability of Multi-Task Kernel Regression Algorithms. ACML Julien Audiffren, Hachem Kadri
2013	J	`jnl`	Stability of Multi-Task Kernel Regression Algorithms. CoRR Julien Audiffren, Hachem Kadri
2013	C	`conf`	The Multi-Task Learning View of Multimodal Data. ACML Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant
2012	J	`jnl`	A Generalized Kernel Approach to Structured Output Learning CoRR Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
2012	J	`jnl`	Multiple Operator-valued Kernel Learning CoRR Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	—	`conf`	Multiple Operator-valued Kernel Learning. NIPS Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	Misc	`conf`	Nonparametric Bayesian supervised classification of functional data. ICASSP Asma Rabaoui, Hachem Kadri, Manuel Davy
2011	A*	`conf`	Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
2011	Misc	`conf`	Learning vocal tract variables with multi-task kernels. ICASSP Hachem Kadri, Emmanuel Duflos, Philippe Preux
2010	A	`conf`	Nonlinear functional regression: a functional RKHS approach. AISTATS Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
2008	J	`jnl`	One-Class SVMs Challenges in Audio Detection and Classification Applications. EURASIP J. Adv. Signal Process. Asma Rabaoui, Hachem Kadri, Zied Lachiri, Noureddine Ellouze
2008	—	`conf`	Robust audio speaker segmentation using one class SVMS. EUSIPCO Hachem Kadri, Manuel Davy, Asma Rabaoui, Zied Lachiri, Noureddine Ellouze
2006	—	`conf`	Hybrid approach for unsupervised Audio Speaker Segmentation. EUSIPCO Hachem Kadri, Zied Lachiri, Noureddine Ellouze