Publications
You can find my complete articles list on my Google Scholar profile.
- Mazoure, B.*; Doan, T.*; Durand, A.; Hjelm, R D.; Pineau, J. Leveraging exploration in off-policy algorithms via normalizing flows. Proceedings of the 3rd Conference on Robot Learning (CoRL 2019), 2019. [link]
- Mazza-Anthony, C.; Mazoure, B.; Coates, M. Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. arXiv, 2019. [link]
- Wang, J.; Mazoure, B.; McCracken, G.; Venuto, D.; Durand, A. PAC-Bayesian Analysis of Counterfactual Risk in Stochastic Contextual Bandits. Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), 2019. [link]
- Tahiri, N.; Mazoure, B.; Makarenkov, V. An intelligent shopping list based on partitioning and machine learning algorithms. SciPy Conference, 2019. [link]
- Norouzian, A.; Mazoure, B.; Conolly, D.; Willett, D.; Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), 2019. [link]
- Mazoure, B. Estimating the structure of probabilistic graphical models through a Gaussian copula with discrete marginals. Master’s Thesis, 2018. [link]
- Doan, T.; Monteiro, J.; Albuquerque, I.; Mazoure, B.; Durand, A.; Hjelm, R D.; Pineau, J. On-line Adaptative Curriculum Learning for GANs. Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019. [link]
- Mazoure, B.*; Doan, T.*; Ray, S. EmojiGAN: learning emojis distributions with a generative model. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018. [link]
- Doan, T.*; Mazoure, B.*; Lyle, C. GAN Q-learning. arXiv, 2018. [link]
- Mazoure, B.; Caraus, I.; Nadon, R.; Makarenkov, V. Identification and correction of additive and multiplicative spatial biases in experimental high-throughput screening. SLAS Discovery,2017. link
- Mazoure, B.; Islam, R. α-Divergences in Variational Dropout. arXiv, 2017. [link]
- Mazoure, B.; Nadon, R.; Makarenkov, V. Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies. Nature Scientific Reports, 2017. [link]
- Caraus, I.; Mazoure, B.; Nadon, R.; Makarenkov, V. Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinformatics, 2017. [link]