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04/26/2023
Association Rules Mining with Auto-Encoders
Association rule mining is one of the most studied research fields of da...
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02/19/2023
Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients
Cancer treatment is an arduous process for patients and causes many side...
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12/10/2022
Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy
Polypharmacy, most often defined as the simultaneous consumption of five...
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11/23/2022
Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining
Association rule mining is one of the most studied research fields of da...
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10/15/2021
GrowSpace: Learning How to Shape Plants
Plants are dynamic systems that are integral to our existence and surviv...
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03/22/2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
Multi-armed bandit algorithms have been argued for decades as useful for...
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11/03/2020
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model
The objective of this work was to assess the clinical performance of an ...
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07/03/2020
Deep interpretability for GWAS
Genome-Wide Association Studies are typically conducted using linear mod...
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12/03/2019
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
In this paper, we reproduce the experiments of Artetxe et al. (2018b) re...
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10/11/2019
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
We propose RandUCB, a bandit strategy that uses theoretically derived co...
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09/17/2019
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Continuous control tasks in reinforcement learning are important because...
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05/16/2019
Leveraging exploration in off-policy algorithms via normalizing flows
Exploration is a crucial component for discovering approximately optimal...
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11/01/2018
Temporal Regularization in Markov Decision Process
Several applications of Reinforcement Learning suffer from instability d...
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07/31/2018
Online Adaptative Curriculum Learning for GANs
Generative Adversarial Networks (GANs) can successfully learn a probabil...
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03/28/2018
Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy
With super-resolution optical microscopy, it is now possible to observe ...
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09/13/2017
Query Completion Using Bandits for Engines Aggregation
Assisting users by suggesting completed queries as they type is a common...
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08/02/2017
Streaming kernel regression with provably adaptive mean, variance, and regularization
We consider the problem of streaming kernel regression, when the observa...
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01/04/2017