Retour à l'annuaire 
2021-05
Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders.
2021-03
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
2020-11
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model.
2020-10
MICRA-Net: MICRoscopy Analysis Neural Network to solve detection, classification, and segmentation from a single simple auxiliary task
2020-07
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Deep interpretability for GWAS.
2020-06
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1910.04928 (2019-10-11)]2020-05
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
2020-04
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract)
2019-09
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
2019-07
Leveraging Observations in Bandits: Between Risks and Benefits
On-line Adaptative Curriculum Learning for GANs
2019-01
Leveraging exploration in off-policy algorithms via normalizing flows.
2018-11
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis
Temporal Regularization in Markov Decision Process
2018-09
Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes
2018-07
Leveraging Observational Learning for Exploration in Bandits
2018-01
Genomic Prediction of Osteoporosis Using 426,000 Individuals from UK Biobank
Temporal Regularization for Markov Decision Process
Streaming kernel regression with provably adaptive mean, variance, and regularization
Publications collected and formatted using Paperoni
