75 citations · 119 across the 6 of their papers we have counts for
6 papers
Producer-Fairness in Sequential Bundle Recommendation
Alexandre Rio, Marta Soare, Sihem Amer-Yahia
We address fairness in the context of sequential bundle recommendation, where users are served in turn with sets of relevant and compatible items. Motivated by real-world scenarios…
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder +6
Predicting the efficacy of a drug for a given individual, using high-dimensional genomic measurements, is at the core of precision medicine. However, identifying features on which…
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Luana Micallef, Iiris Sundin, Pekka Marttinen +5
Providing accurate predictions is challenging for machine learning algorithms when the number of features is larger than the number of samples in the data. Prior knowledge can impr…
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction
Pedram Daee, Tomi Peltola, Marta Soare +1
Prediction in a small-sized sample with a large number of covariates, the "small n, large p" problem, is challenging. This setting is encountered in multiple applications, such as…
Regression with n1 by Expert Knowledge Elicitation
Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski
We consider regression under the "extremely small large " condition, where the number of samples is so small compared to the dimensionality that predictors cannot be…
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Rémi Munos
We study the best-arm identification problem in linear bandit, where the rewards of the arms depend linearly on an unknown parameter and the objective is to return the arm wi…