Publications

Article dans des revues

  • William de Vazelhes, Cj Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet. metric-learn: Metric Learning Algorithms in Python. Journal of Machine Learning Research, Microtome Publishing, 2020, 21, pp.1-6. ⟨hal-03100076⟩
  • Kuan Liu, Aurélien Bellet. Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds. Neurocomputing, Elsevier, 2019, 333, pp.185-199. ⟨10.1016/j.neucom.2018.12.060⟩. ⟨hal-02166425⟩
  • Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, et al.. Kernel Approximation Methods for Speech Recognition. Journal of Machine Learning Research, Microtome Publishing, 2019, 20, pp.1 - 36. ⟨hal-02166422⟩
  • Wenjie Zheng, Aurélien Bellet, Patrick Gallinari. A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. Machine Learning, Springer Verlag, 2018, ⟨10.1007/s10994-018-5713-5⟩. ⟨hal-01922994⟩
  • Stéphan Clémençon, Igor Colin, Aurélien Bellet. Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics. Journal of Machine Learning Research, Microtome Publishing, 2016, 17 (76), pp.1-36. ⟨hal-01327662⟩
  • Aurélien Bellet, José Bernabeu, Amaury Habrard, Marc Sebban. Learning Discriminative Tree Edit Similarities for Linear Classification - Application to Melody Recognition. Neurocomputing, Elsevier, 2016, 214, pp.155-161. ⟨10.1016/j.neucom.2016.06.006⟩. ⟨hal-01330492⟩
  • Aurélien Bellet, Amaury Habrard. Robustness and Generalization for Metric Learning. Neurocomputing, Elsevier, 2015, pp.16. ⟨10.1016/j.neucom.2014.09.044⟩. ⟨hal-01075370⟩
  • Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban. Learning A Priori Constrained Weighted Majority Votes. Machine Learning, Springer Verlag, 2014, 97 (1-2), pp.129-154. ⟨10.1007/s10994-014-5462-z⟩. ⟨hal-01009578⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Good edit similarity learning by loss minimization. Machine Learning, Springer Verlag, 2012, pp.5-35. ⟨10.1007/s10994-012-5293-8⟩. ⟨hal-00690240⟩
  • Aurélien Bellet, Marc Bernard, Thierry Murgue, Marc Sebban. Learning State Machine-based String Edit Kernels. Pattern Recognition, Elsevier, 2010, 43 (2010), pp.2330-2339. ⟨10.1016/j.patcog.2009.12.008⟩. ⟨hal-00462538⟩

Communication dans un congrès

  • Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal. Federated Multi-Task Learning under a Mixture of Distributions. NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia. ⟨hal-03406994⟩
  • Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, et al.. A comparative study of speech anonymization metrics. INTERSPEECH 2020, Oct 2020, Shanghai, China. ⟨hal-02907918⟩
  • Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, et al.. Design Choices for X-vector Based Speaker Anonymization. INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China. ⟨hal-02610447v2⟩
  • Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx. Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols. DISC 2020 - 34th International Symposium on Distributed Computing, Oct 2020, Freiburg / Virtual, Germany. ⟨hal-02166432v2⟩
  • Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi. Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. AISTATS 2020 - The 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palerme / Virtual, Italy. ⟨hal-03100057⟩
  • James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni. Private Protocols for U-Statistics in the Local Model and Beyond. AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo, Italy. ⟨hal-02310236v2⟩
  • Brij Mohan Lal Srivastava, Nathalie Vauquier, Md Sahidullah, Aurélien Bellet, Marc Tommasi, et al.. Evaluating Voice Conversion-based Privacy Protection against Informed Attackers. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806. ⟨hal-02355115v2⟩
  • Mariana Vargas-Vieyra, Aurélien Bellet, Pascal Denis. Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning. 14th Workshop on Graph-Based Natural Language Processing (TextGraphs 2020), 2020, Virtual, Spain. ⟨hal-03100039⟩
  • Brooks Paige, James Bell, Aurélien Bellet, Adrià Gascón, Daphne Ezer. Reconstructing Genotypes in Private Genomic Databases from Genetic Risk Scores. 24th International Conference On Research In Computational Molecular Biology (RECOMB 2020), 2020, Virtual, Italy. ⟨10.1101/2020.01.15.907808⟩. ⟨hal-03100032⟩
  • Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa. Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning. ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany. ⟨hal-02166428⟩
  • Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent. Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?. INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria. ⟨hal-02166434⟩
  • Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi. Communication-Efficient Decentralized Boosting while Discovering the Collaboration Graph. NeurIPS 2018 - Workshop on Machine Learning on the Phone and other Consumer Devices, 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2), Dec 2018, Montréal, Canada. ⟨hal-02166758⟩
  • Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi. Personalized and Private Peer-to-Peer Machine Learning. AISTATS 2018 - 21st International Conference on Artificial Intelligence and Statistics, Apr 2018, Lanzarote, Spain. pp.1-20. ⟨hal-01745796⟩
  • Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha. A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 2018, Brussels, Belgium. ⟨hal-01922985⟩
  • Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx. Who started this gossip? Differentially private rumor spreading. NeurIPS 2018 Workshop on Privacy Preserving Machine Learning, 2018, Long Beach, United States. ⟨hal-02166438⟩
  • Robin Vogel, Aurélien Bellet, Stéphan Clémençon. A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization. International Conference on Machine Learning (ICML 2018), 2018, Stockholm, Sweden. ⟨hal-01922988⟩
  • Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi. Personalized and Private Peer-to-Peer Machine Learning. NIPS 2017 - Workshop on Machine Learning on the Phone and other Consumer Devices, Dec 2017, Long Beach, United States. ⟨hal-01665422⟩
  • Thanh Le Van, Aurélien Bellet, Jan Ramon. Decentralised and Privacy-Aware Learning of Traversal Time Models. ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation, Sep 2017, Skopje, Macedonia. pp.1-5. ⟨hal-01666739⟩
  • Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi. Decentralized Collaborative Learning of Personalized Models over Networks. International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, Florida., United States. ⟨hal-01533182⟩
  • Pierre Dellenbach, Jan Ramon, Aurélien Bellet. A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data. NIPS 2016 workshop on Private Multi-Party Machine Learning, Dec 2016, Barcelone, Spain. ⟨hal-01384148⟩
  • Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability. Annual Conference on Neural Information Processing Systems (NIPS 2016), Dec 2016, Barcelone, Spain. ⟨hal-01367546v2⟩
  • Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. International Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States. ⟨hal-01329315⟩
  • Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, et al.. A Comparison Between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. ⟨hal-01329772⟩
  • Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk. Annual Conference on Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada. ⟨hal-01214667⟩
  • Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. Extending Gossip Algorithms to Distributed Estimation of U-statistics. Annual Conference on Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada. ⟨hal-01214665⟩
  • Stéphan Clémençon, Aurélien Bellet, Ons Jelassi, Guillaume Papa. Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques. INNS Conference on Big Data (INNS-BigData 2015), Aug 2015, San Francisco, United States. ⟨hal-01430858⟩
  • Kuan Liu, Aurélien Bellet, Fei Sha. Similarity Learning for High-Dimensional Sparse Data. International Conference on Artificial Intelligence and Statistics (AISTATS 2015), May 2015, San Diego, United States. ⟨hal-01430854⟩
  • Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha. A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SIAM International Conference on Data Mining (SDM 2015), Apr 2015, Vancouver, Canada. ⟨10.1137/1.9781611974010.54⟩. ⟨hal-01430851⟩
  • Yuan Shi, Aurélien Bellet, Fei Sha. Sparse Compositional Metric Learning. AAAI Conference on Artificial Intelligence (AAAI 2014), Jul 2014, Quebec City, Canada. ⟨hal-01430847⟩
  • Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban. Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisins. Conférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France. ⟨hal-00850241⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Similarity Learning for Provably Accurate Sparse Linear Classification. International Conference on Machine Learning, Jun 2012, United Kingdom. ⟨hal-00708401⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Apprentissage de bonnes similarités pour la classification linéaire parcimonieuse. Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p. ⟨hal-00690242⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. An Experimental Study on Learning with Good Edit Similarity Functions. ICTAI 2011, Nov 2011, United States. ⟨hal-00618706⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Learning Good Edit Similarities with Generalization Guarantees. European Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203. ⟨hal-00608631⟩
  • Aurélien Bellet, Marc Bernard, Thierry Murgue, Marc Sebban. Apprentissage de noyaux d'édition de séquences. Conférence d'Apprentissage : CAP 2009, May 2009, Hammamet, Tunisia. pp.à venir. ⟨ujm-00378078⟩

Poster

  • César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition, Dec 2020, Vancouver (Virtual Workshop), Canada. ⟨hal-03117816⟩
  • César Sabater, Aurélien Bellet, Jan Ramon. Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle. Conférence sur l'Apprentissage Automatique 2020, Jun 2020, Vannes (Virtual), France. ⟨hal-03117907⟩

Ouvrage (y compris édition critique et traduction)

Chapitre d'ouvrage

  • Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions, 2016, ICML. ⟨hal-02107511⟩
  • Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. SGD Algorithms based on Incomplete U -statistics: Large-Scale Minimization of Empirical Risk. SGD Algorithms based on Incomplete U -statistics: Large-Scale Minimization of Empirical Risk, 2015, Advances in Neural Information Processing Systems 28 (NIPS 2015). ⟨hal-02107492⟩
  • Igor Colin, Joseph Salmon, Stéphan Clémençon, Aurélien Bellet. Extending Gossip Algorithms to Distributed Estimation of U -Statistics. Extending Gossip Algorithms to Distributed Estimation of U -Statistics, 2015. ⟨hal-02107483⟩

Pré-publication, Document de travail

  • Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi. Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. 2021. ⟨hal-03424974⟩
  • Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, et al.. Enhancing Speech Privacy with Slicing. 2021. ⟨hal-03369137⟩
  • Peter Kairouz, Brendan Mcmahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, et al.. Advances and Open Problems in Federated Learning. 2021. ⟨hal-02406503v2⟩
  • Brij Mohan Lal Srivastava, Mohamed Maouche, Md Sahidullah, Emmanuel Vincent, Aurélien Bellet, et al.. Privacy and utility of x-vector based speaker anonymization. 2021. ⟨hal-03197376⟩
  • Aurélien Bellet, Pascal Denis, Rémi Gilleron, Mikaela Keller, Nathalie Vauquier. Pour plus de transparence dans l'analyse automatique des consultations ouvertes : leçons de la synthèse du Grand Débat National. 2020. ⟨hal-02860659v2⟩
  • César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. 2020. ⟨hal-03100019⟩
  • Edwige Cyffers, Aurélien Bellet. Privacy Amplification by Decentralization. 2020. ⟨hal-03100005v3⟩
  • Robin Vogel, Aurélien Bellet, Stéphan Clémençon. Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints. 2020. ⟨hal-03100014⟩
  • William de Vazelhes, Cj Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet. metric-learn: Metric Learning Algorithms in Python. 2019. ⟨hal-02376986⟩

Rapport

  • Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi. Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. [Research Report] Inria. 2019. ⟨hal-02166433⟩
  • Pierre Dellenbach, Aurélien Bellet, Jan Ramon. Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries. [Research Report] Inria. 2018. ⟨hal-01923000⟩
  • Kuan Liu, Aurélien Bellet. Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds. [Research Report] Inria. 2018. ⟨hal-01923006⟩
  • Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, et al.. Kernel Approximation Methods for Speech Recognition. [Research Report] INRIA Lille. 2017, pp.1-31. ⟨hal-01665417⟩
  • Wenjie Zheng, Aurélien Bellet, Patrick Gallinari. A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. [Research Report] Inria Lille. 2017, pp.1-19. ⟨hal-01672066⟩
  • Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi. Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning. [Research Report] INRIA Lille. 2017, pp.1-18. ⟨hal-01665410⟩
  • Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi. Decentralized Collaborative Learning of Personalized Models over Networks. [Research Report] INRIA Lille. 2016. ⟨hal-01383544⟩
  • Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, et al.. How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. [Research Report] University of Southern California. 2014. ⟨hal-01666934⟩
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. A Survey on Metric Learning for Feature Vectors and Structured Data. [Research Report] Laboratoire Hubert Curien UMR 5516. 2013. ⟨hal-01666935⟩