Paul Weng

Functional Reward Markov Decision Processes: Theory and Applications

2017 · International Journal of Artificial Intelligence Tools

Markov decision processes (MDP) have become one of the standard models for decisiontheoretic planning problems under uncertainty. In its standard form, rewards are assumed to be numerical additive scalars. In this paper, we propose a …

Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach

2024 · arXiv (Cornell University)

Data augmentation is widely applied and has shown its benefits in different machine learning tasks. However, as recently observed, it may have an unfair effect in multi-class classification. While data augmentation generally improves the overall …

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

2019

Social recommendation leverages social information to solve data sparsity and cold-start problems in traditional collaborative filtering methods. However, most existing models assume that social effects from friend users are static and under the forms of …