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Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning
Second, given the particularities of our problem, we used an offline learning strategy to simulate the impact of the action based on historical data from a super-app in Latin America to train our reinforcement learning agent.
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Privacy-preserving machine learning in data-sharing processes is an ever-critical task that enables collaborative training of Machine Learning (ML) models without the need to share the original data sources.
Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions
In this work, we propose a framework relying solely on chat-based customer support (CS) interactions for predicting the recommendation decision of individual users.
A Siamese Neural Network for Behavioral Biometrics Authentication
We show that our approach has a few-shot classification accuracy of up to 99. 8% and 90. 8% for mobile and web interactions, respectively.
