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Massih-Reza Amini Professor of Computer Science Université Grenoble Alpes
Head of APTIKAL team of LIG Deputy Scientific Director in charge of AI at CNRS Informatics CNRS Director of Priority Research Program and Equipments on AI (PEPR IA) |
Research Interests: My current research focuses on Machine Learning applied to large-scale applications in information access. I am particularly interested on document classification, ranking, text summarization and on the learnability of statistical models where only a small portion of data is labeled and where the aim is to take advantage of the huge unlabeled data together with labeled ones to make prediction.
Selected papers: (more …)
- Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini Journal of Machine Learning Research MIT Press, 25(104):1--47, 2024 [pdf 619 KB] [bibTeX]
- Generalization bounds for learning under graph-dependence: a survey Rui-Ray Zhang, Massih-Reza Amini Machine Learning Journal Springer, 113(7):3929--3959, 2024 [pdf 638 KB] [bibTeX]
- Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption Hadjadj L., Amini M.-R., Louhichi S. 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), p. 3777-3785 [pdf 197 KB][bibTeX]
- Uplift Modeling with Generalization Guarantees Betlei A., Diemert E., Amini M.-R. 27th International Conference on Knowledge Discovery and Data Mining (SIGKDD 2021), p. 55-65 [pdf 1.1 MB][bibTeX]
- Transductive Bounds for the Multi-Class Majority Vote Classifier Feofanov V., Devijver E., Amini M.-R. 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), p. 3566-3573 [pdf 508 KB] [bibTeX]
- Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm Maximov Y., Amini M.-R., Harchaoui Z. Journal of Artificial Intelligence Research , 61(1):761-786, 2018 [pdf 176 KB] [bibTeX]
- A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning Mishchenko K., Iutzeler F., Malick J., Amini M.R. 35th International Conference on Machine Learning (ICML 2018), p. 3584-3592 [pdf 762 KB]
- Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification Joshi B., Amini M.-R., Partalas I., Iutzeler F., Maximov Y. Advances in Neural Information Processing Systems 30 (NeurIPS 2017), [pdf 776 KB] [bibTeX]
- Learning Taxonomy Adaptation in Large-scale Classification Babbar R., Partalas I., Gaussier E., Amini M.-R., Amblard C. Journal of Machine Learning Research , 17(98):1-37, 2016 [pdf 503 KB] [bibTeX]
- Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Amoualian H., Clausel M., Gaussier E., Amini M.-R. 22nd International Conference on Knowledge Discovery and Data Mining (SIGKDD 2016), p. 695-704 [pdf 420 KB] [bibTeX]
- Entropy-Based Concentration Inequalities for Dependent Variables Ralaivola L., Amini M.-R. 32nd International Conference on Machine Learning (ICML 2015), p. 2436-2444 [pdf 318 KB]
- On Flat versus Hierarchical Classification in Large-Scale Taxonomies. Babbar R., Partalas I., Gaussier É., Amini M.-R. 26th Annual Conference on Neural Information Processing Systems (NeurIPS 2013) [pdf 331 KB]
- On using a Quantum Physics formalism for Multi-document Summarisation. Piwowarski P., Amini M.-R., Lalmas M. Journal of the American Society for Information Science and Technology, 63(5):865-888, 2012 [pdf 361 KB]
- A Co-classification Approach to Learning from Multilingual Corpora. Amini M.-R., Goutte C. Machine Learning Journal, 79(1-2):105-121, 2010 [pdf 582 KB]
- Combining Coregularization and Consensus-based Self-Training for Multilingual Text Categorization Amini M.-R., Goutte C., Usunier N. Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010) [pdf 199 KB]
- Learning from Multiple Partially Observed Views – an Application to Multilingual Text Categorization. Amini M.-R., Usunier N., Goutte C. 22nd Annual Conference on Neural Information Processing Systems (NeurIPS 2009) [pdf 113 KB]
- A Transductive Bound for the Voted Classifier with an Application to Semi-Superivsed Learning. Amini M.-R., Laviolette F., Usunier N. 21st Annual Conference on Neural Information Processing Systems (NIPS 2008) [pdf 331 KB]
- A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data. Amini M.-R., Truong V., Goutte C. Proceedings of the 31st International ACM SIGIR (SIGIR 2008) [pdf 160 KB] (Released Code)
- Generalisation Error Bounds for Classifiers Trained with Interdependent Data. Usunier N., Amini M.-R., Gallinari P. 18th Annual Conference on Neural Information Processing Systems (NeurIPS 2005) [pdf 119 KB]
- Semi-Supervised Learning with Explicit Misclassification Modeling Amini M.-R., Gallinari P. Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI 2003), p. 555-560 [pdf 110 KB] [bibTeX]
- The Use of Unlabeled data to Improve Supervised Learning for Text Summarization Amini M.-R., Gallinari P. Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002), p. 105-112 [pdf 277 KB] [bibTeX]
Currently I am working with:
- Ali Aghababaei (PhD, since 2023)
- Hossein Habibinejad (PhD, since 2025)
- Amine Lbath (PhD, since 2024)
- Corentin Masson (PhD, since 2024)