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Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments


Mar 26, 2021
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna Rafferty


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Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model


Nov 03, 2020
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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Deep interpretability for GWAS


Jul 03, 2020
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau

* Accepted at ICML 2020 workshop on ML Interpretability for Scientific Discovery 

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A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well


Dec 03, 2019
Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne

* Submitted to [email protected] 

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Old Dog Learns New Tricks: Randomized UCB for Bandit Problems


Oct 11, 2019
Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton


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Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning


Sep 24, 2019
Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm


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Leveraging exploration in off-policy algorithms via normalizing flows


May 16, 2019
Bogdan Mazoure, Thang Doan, Audrey Durand, R Devon Hjelm, Joelle Pineau


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Temporal Regularization in Markov Decision Process


Nov 01, 2018
Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup

* Published as a conference paper at NIPS 2018 

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On-line Adaptative Curriculum Learning for GANs


Sep 12, 2018
Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm


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Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy


Mar 28, 2018
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

* Accepted to the Thirtieth Innovative Applications of Artificial Intelligence Conference (IAAI), 2018 

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Streaming kernel regression with provably adaptive mean, variance, and regularization


Aug 02, 2017
Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau


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Estimating Quality in Multi-Objective Bandits Optimization


Apr 20, 2017
Audrey Durand, Christian Gagné

* Submitted to ECML 2017 

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