Audrey Durand - RankMe

69 papers A* 11A 5B 2Misc 1Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Active Learning with Non-Uniform Costs for African Natural Language Processing. EACL (Findings) Bonaventure F. P. Dossou, Ines Arous, Audrey Durand, Jackie Chi Kit Cheung
2026	J	`jnl`	CanViT: Toward Active-Vision Foundation Models. CoRR Yohaï-Eliel Berreby, Sabrina Du, Audrey Durand, B. Suresh Krishna
2026	J	`jnl`	Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks. CoRR Alexandre Larouche, Audrey Durand
2025	J	`jnl`	A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy. CoRR Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawé, Yann Pequignot, Alexandre Larouche, Christian Gagné, Irina Rish, Ola Ahmad, Audrey Durand
2025	J	`jnl`	LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems. CoRR Baptiste Bonin, Maxime Heuillet, Audrey Durand
2025	J	`jnl`	Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts. CoRR Maxime Heuillet, Yufei Cui, Boxing Chen, Audrey Durand, Prasanna Parthasarathi
2025	A*	`conf`	On Shallow Planning Under Partial Observability. AAAI Randy Lefebvre, Audrey Durand
2025	J	`jnl`	On the Fundamental Limitations of Dual Static CVaR Decompositions in Markov Decision Processes. CoRR Mathieu Godbout, Audrey Durand
2025	A	`conf`	Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. LAK Ilya Musabirov, Mohi Reza, Haochen Song, Steven Moore, Pan Chen, Harsh Kumar, Tong Li, John C. Stamper, Norman L. Bier, Anna N. Rafferty, Thomas W. Price, Nina Deliu, Audrey Durand, Michael Liut, Joseph Jay Williams
2025	J	`jnl`	Preference-based learning for news headline recommendation. CoRR Alexandre Bouras, Audrey Durand, Richard Khoury
2025	J	`jnl`	Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling. CoRR Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné
2025	J	`jnl`	WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. CoRR Haochen Song, Ilya Musabirov, Ananya Bhattacharjee, Audrey Durand, Meredith Franklin, Anna N. Rafferty, Joseph Jay Williams
2024	—	`conf`	Association Rules Mining with Auto-encoders. IDEAL (1) Théophile Berteloot, Richard Khoury, Audrey Durand
2024	—	`conf`	Data harmonization for Advancing research on Personalized Rehabilitation Interventions for Patients with Traumatic Brain Injury and Stroke: A proof of concept. PETRA Dorra Rakia Allegue, Despoina Petsani, Nathalie Ponthon, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis, Eva Kehayia, Audrey Durand, Sara Ahmed
2024	J	`jnl`	Deep reinforcement learning for continuous wood drying production line control. Comput. Ind. François-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault
2024	J	`jnl`	Development of AI-assisted microscopy frameworks through realistic simulation with pySTED. Nat. Mac. Intell. Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert, Benoît Turcotte, Jörn Heine, Audrey Durand, Flavie Lavoie-Cardinal
2024	J	`jnl`	GrowSpace: A reinforcement learning environment for plant architecture. Comput. Electron. Agric. Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand
2024	A	`conf`	Neural Active Learning Meets the Partial Monitoring Framework. UAI Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	Neural Active Learning Meets the Partial Monitoring Framework. CoRR Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	On shallow planning under partial observability. CoRR Randy Lefebvre, Audrey Durand
2024	A*	`conf`	Randomized Confidence Bounds for Stochastic Partial Monitoring. ICML Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	Randomized Confidence Bounds for Stochastic Partial Monitoring. CoRR Maxime Heuillet, Ola Ahmad, Audrey Durand
2023	J	`jnl`	Association Rules Mining with Auto-Encoders. CoRR Théophile Berteloot, Richard Khoury, Audrey Durand
2023	J	`jnl`	Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm. J. Mach. Learn. Res. Louis-Philippe Vignault, Audrey Durand, Pascal Germain
2023	J	`jnl`	Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients. CoRR Rupali Bhati, Jennifer Jones, Audrey Durand
2023	A*	`conf`	Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract). AAAI Charles Bourbeau, Audrey Durand
2022	—	`conf`	A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning. SafeAI@AAAI Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand
2022	A*	`conf`	Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract). AAAI Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal
2022	J	`jnl`	Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining. CoRR Théophile Berteloot, Richard Khoury, Audrey Durand
2022	—	`conf`	Contextual bandit optimization of super-resolution microscopy. Canadian AI Anthony Bilodeau, Renaud Bernatchez, Albert Michaud-Gagnon, Flavie Lavoie-Cardinal, Audrey Durand
2022	J	`jnl`	Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations. Nat. Mach. Intell. Anthony Bilodeau, Constantin V. L. Delmas, Martin Parent, Paul De Koninck, Audrey Durand, Flavie Lavoie-Cardinal
2022	J	`jnl`	Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy. CoRR Alexandre Larouche, Audrey Durand, Richard Khoury, Caroline Sirois
2021	J	`jnl`	CARL: Conditional-value-at-risk Adversarial Reinforcement Learning. CoRR Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand
2021	J	`jnl`	Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty
2021	J	`jnl`	Exploring polypharmacy with artificial intelligence: data analysis protocol. BMC Medical Informatics Decis. Mak. Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Déziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean, Marc Simard
2021	J	`jnl`	GrowSpace: Learning How to Shape Plants. CoRR Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand
2021	J	`jnl`	Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders. J. Am. Medical Informatics Assoc. Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault
2021	—	`conf`	Routine Bandits: Minimizing Regret on Recurring Problems. ECML/PKDD (1) Hassan Saber, Léo Saci, Odalric-Ambrym Maillard, Audrey Durand
2020	B	`conf`	A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. LREC Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne
2020	J	`jnl`	Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model. CoRR Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault
2020	J	`jnl`	Deep interpretability for GWAS. CoRR Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau
2020	A*	`conf`	Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. IJCAI Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau
2020	A*	`conf`	Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). AAAI Qizhen Zhang, Audrey Durand, Joelle Pineau
2020	A	`conf`	Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. AISTATS Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton
2019	J	`jnl`	A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. CoRR Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne
2019	J	`jnl`	Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	A*	`conf`	Leveraging Observations in Bandits: Between Risks and Benefits. AAAI Andrei Lupu, Audrey Durand, Doina Precup
2019	Misc	`conf`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRL Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRR Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau
2019	J	`jnl`	Old Dog Learns New Tricks: Randomized UCB for Bandit Problems. CoRR Sharan Vaswani, Abbas Mehrabian, Audrey Durand, Branislav Kveton
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2018	—	`conf`	Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis. MLHC Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau
2018	J	`jnl`	Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy. CoRR Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	A*	`conf`	Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. AAAI Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	A	`conf`	Leveraging Observational Learning for Exploration in Bandits. AAMAS Andrei Lupu, Audrey Durand, Doina Precup
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2018	A*	`conf`	Rating Super-Resolution Microscopy Images With Deep Learning. AAAI Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
2018	J	`jnl`	Streaming kernel regression with provably adaptive mean, variance, and regularization. J. Mach. Learn. Res. Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
2018	A*	`conf`	Temporal Regularization for Markov Decision Process. NeurIPS Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
2018	J	`jnl`	Temporal Regularization in Markov Decision Process. CoRR Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
2017	B	`conf`	Bayesian optimization for conditional hyperparameter spaces. IJCNN Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
2017	J	`jnl`	Estimating Quality in User-Guided Multi-Objective Bandits Optimization. CoRR Audrey Durand, Christian Gagné
2017	J	`jnl`	Query Completion Using Bandits for Engines Aggregation. CoRR Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay, Sébastien Paquet
2017	J	`jnl`	Streaming kernel regression with provably adaptive mean, variance, and regularization. CoRR Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
2015	—	`conf`	Adaptive Treatment Allocation Using Sub-Sampled Gaussian Processes. AAAI Fall Symposia Audrey Durand, Joelle Pineau
2014	J	`jnl`	Bayesian classification and unsupervised learning for isolating weeds in row crops. Pattern Anal. Appl. François-Michel De Rainville, Audrey Durand, Félix-Antoine Fortin, Kevin Tanguy, Xavier Maldague, Bernard Panneton, Marie-Josée Simard
2012	A	`conf`	Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space. GECCO Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin
2012	J	`jnl`	Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis. IEEE Trans. Syst. Man Cybern. Part A Audrey Durand, Christian Gagné, Léon Nshimyumukiza, Mathieu Gagnon, François Rousseau, Yves Giguère, Daniel Reinharz
2010	—	`conf`	SCHNAPS: a generic population-based simulator for public health purposes. SummerSim Audrey Durand, Christian Gagné, Marc-André Gardner, François Rousseau, Yves Giguère, Daniel Reinharz