2 citations · 6 across the 5 of their papers we have counts for
5 papers
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions
Xi Yang, Ge Gao, Min Chi
Apprenticeship learning (AL) is a process of inducing effective decision-making policies via observing and imitating experts' demonstrations. Most existing AL approaches, however,…
Variational Latent Branching Model for Off-Policy Evaluation
Qitong Gao, Ge Gao, Min Chi +1
Model-based methods have recently shown great potential for off-policy evaluation (OPE); offline trajectories induced by behavioral policies are fitted to transitions of Markov dec…
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction
Ge Gao, Farzaneh Khoshnevisan, Min Chi
Real-world Electronic Health Records (EHRs) are often plagued by a high rate of missing data. In our EHRs, for example, the missing rates can be as high as 90% for some features, w…
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler, Michael Green, Min Chi
Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP). Rationale models typicall…
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering
Daniel Shen, Min Chi
Dynamic time warping (DTW) plays an important role in analytics on time series. Despite the large body of research on speeding up univariate DTW, the method for multivariate DTW ha…