About
Discord Stateoftheart AI
GitHub

Publications

43

Cited by

336

Audrey Durand

banditsreinforcement learninghealth informatics
Laval University

Canada

Papers and Citations

1 - 50
Bandit algorithms for tree search
2005
Joelle Pineau
Audrey Durand
Y Yan
Cited by 241
Rapid testing versus karyotyping in Down's syndrome screening: cost-effectiveness and detection of clinically significant chromosome abnormalities
2011
Emmanuel Bujold
David-Gradus van den Berg
Maud Vallée
+6
Cited by 64
Bayesian classification and unsupervised learning for isolating weeds in row crops
2012
Xavier Maldague
Marie-Josée Simard
Bernard Panneton
+4
Cited by 45
An economic evaluation: Simulation of the cost‐effectiveness and cost‐utility of universal prevention strategies against osteoporosis‐related fractures
2013
Mathieu Gagnon
Xavier Douville
Yves Giguere
+10
Cited by 28
Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis
2018
Katerina Strati
Charis Achilleos
Georgios D Mitsis
+7
Cited by 28
An economic evaluation: Simulation of the cost/effectiveness and cost/utility of universal prevention strategies against osteoporosis‐related fractures
2012
Yves Giguère
Xavier Douville
Carmen Lindsay
+10
Cited by 27
Bayesian Optimization for Conditional Hyperparameter Spaces
2017
Audrey Durand
Robert Sabourin
Christian Gagné
+1
Cited by 21
Streaming kernel regression with provably adaptive mean, variance, and regularization
2018
Joelle Pineau
Audrey Durand
Odalric-Ambrym Maillard
Cited by 21
On-line adaptative curriculum learning for gans
2019
Isabela Albuquerque
Audrey Durand
Joelle Pineau
+4
Cited by 21
Leveraging exploration in off-policy algorithms via normalizing flows
2020
Bogdan Mazoure
R Devon Hjelm
Thang Doan
+2
Cited by 20
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space
2012
Christian Gagné
Julien-Charles Lévesque
Robert Sabourin
+1
Cited by 19
A machine learning approach for online automated optimization of super-resolution optical microscopy
2018
Marc-André Gardner
Paul De Koninck
Theresa Wiesner
+5
Cited by 11
SCHNAPS: a generic population-based simulator for public health purposes
2010
MA Gardner
D Reinharz
F Rousseau
+3
Cited by 11
Temporal regularization for Markov decision process
2018
Doina Precup
Pierre Thodoroff
Joelle Pineau
+1
Cited by 11
Population-based simulation for public health: generic software infrastructure and its application to osteoporosis
2012
Daniel Reinharz
François Rousseau
Mathieu Gagnon
+4
Cited by 8
Attraction-repulsion actor-critic for continuous control reinforcement learning
2019
Moloud Abdar
R Devon Hjelm
Joelle Pineau
+3
Cited by 6
Improving the Pareto UCB1 Algorithm on the Multi-Objective Multi-Armed Bandit
2014
C Bordet
Christian Gagné
Audrey Durand
Cited by 3
Old dog learns new tricks: Randomized ucb for bandit problems
2019
Audrey Durand
Branislav Kveton
Abbas Mehrabian
+1
Cited by 3
Leveraging observations in bandits: Between risks and benefits
2019
Doina Precup
Audrey Durand
Andrei Lupu
Cited by 3
Machine learning to predict osteoporotic fracture risk from genotypes
2018
John A Morris
Cyrus Cooper
Douglas P Kiel
+16
Cited by 3
Estimating Quality in Multi-Objective Bandits Optimization
2017
Christian Gagné
Audrey Durand
Cited by 2
Query completion using bandits for engines aggregation
2017
M Lemay
S Paquet
JA Beaumont
+2
Cited by 2
L’électrification des transports: une perspective québécoise
2014
Benoit Montreuil
Jean-François Rougès
Nicolas Lavigne-Lefebvre
+4
Cited by 2
Learning to become an expert: deep networks applied to super-resolution microscopy
2018
Marc-André Gardner
Paul De Koninck
Louis-Émile Robitaille
+3
Cited by 2
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study
2020
Robert Clarke
Marie Forest
Magnus Karlsson
+23
Cited by 2
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
2020
Maxime Wabartha
Vincent François-Lavet
M Wabartha
+3
Cited by 1
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
2019
Luc Lamontagne
Audrey Durand
Mathieu Godbout
+2
Cited by 1
Déclinaisons de bandits et leurs applications
2018
Audrey Durand
Cited by
A machine learning approach for automated optimization of super-resolution optical microscopy
Flavie Lavoie-Cardinal
Paul De Koninck
Theresa Wiesner
+5
Cited by
Rating Super-Resolution Microscopy Images With Deep Learning
2018
Marc-André Gardner
Paul De Koninck
Audrey Durand
+3
Cited by
Leveraging Observational Learning for Exploration in Bandits
2018
Andrei Lupu
Doina Precup
Audrey Durand
Cited by
Sampling diverse neural networks for exploration in reinforcement learning
2019
M Wabartha
Joelle Pineau
Audrey Durand
+1
Cited by
Genomic Prediction of Osteoporosis Using 426,000 Individuals from UK Biobank
2018
Nicholas Harvey
John Kanis
John Kemp
+14
Cited by
Deep interpretability for GWAS
2020
Louis-Philippe Lemieux Perreault
Audrey Lemaçon
Marie-Pierre Dubé
+4
Cited by