Durand, Audrey

1. Leveraging exploration in off-policy algorithms via normalizing flows
   2019/05/16 by Bogdan Mazoure, Thang Doan, Mazoure, Bogdan +7 · 8 citations
   Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
2. Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
   2019/10/11 by Vaswani, Sharan, Mehrabian, Abbas, Durand, Audrey +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Streaming kernel regression with provably adaptive mean, variance, and regularization
   2017/08/02 by Durand, Audrey, Maillard, Odalric-Ambrym, Pineau, Joelle · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Association Rules Mining with Auto-Encoders
   2023/04/26 by Théophile Berteloot, Berteloot, Théophile, Richard Khoury +3 · 1 citation
   Computer Science · #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic
5. Randomized Confidence Bounds for Stochastic Partial Monitoring
   2024/02/07 by Maxime Heuillet, Heuillet, Maxime, Ola Ahmad +3 · 1 citation
   Computer Science · Decision Sciences · #Advanced Statistical Process Monitoring #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Neural Active Learning Meets the Partial Monitoring Framework
   2024/05/14 by Maxime Heuillet, Heuillet, Maxime, Ola Ahmad +3 · 1 citation
   Computer Science · #Neural Networks and Applications