The recent literature on online learning to rank (LTR) has established t...
Latent-state environments with long horizons, such as those faced by
rec...
The prevalent approach to bandit algorithm design is to have a low-regre...
Deep structured models are widely used for tasks like semantic segmentat...
Ranking is a central task in machine learning and information retrieval....
In many practical uses of reinforcement learning (RL) the set of actions...
Structured prediction is used in areas such as computer vision and natur...
Structured prediction is a powerful framework for coping with joint
pred...
The introduction of loopy belief propagation (LBP) revitalized the
appli...