12 citations · 29 across the 6 of their papers we have counts for
3 papers · 1 filter
Inverse Reinforcement Learning with Multiple Planning Horizons
Jiayu Yao, Weiwei Pan, Finale Doshi-Velez +1
In this work, we study an inverse reinforcement learning (IRL) problem where the experts are planning under a shared reward function but with different, unknown planning horizons.…
Coupled Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
We present a general framework, the coupled compound Poisson factorization (CCPF), to capture the missing-data mechanism in extremely sparse data sets by coupling a hierarchical Po…
Dynamic Collaborative Filtering with Compound Poisson Factorization
Ghassen Jerfel, Mehmet E. Basbug, Barbara E. Engelhardt
Model-based collaborative filtering analyzes user-item interactions to infer latent factors that represent user preferences and item characteristics in order to predict future inte…