9 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
Nonparametric Deconvolution Models
Allison J. B. Chaney, Archit Verma, Young-suk Lee +1
We describe nonparametric deconvolution models (NDMs), a family of Bayesian nonparametric models for collections of data in which each observation is the average over the features…
Defining Admissible Rewards for High Confidence Policy Evaluation
Niranjani Prasad, Barbara E Engelhardt, Finale Doshi-Velez
A key impediment to reinforcement learning (RL) in real applications with limited, batch data is defining a reward function that reflects what we implicitly know about reasonable b…
Hierarchical Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
Non-negative matrix factorization models based on a hierarchical Gamma-Poisson structure capture user and item behavior effectively in extremely sparse data sets, making them the i…