3 citations · 3 across the 4 of their papers we have counts for
5 papers
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
Abhishek Sharma, Sonali Parbhoo, Omer Gottesman +1
Model-based reinforcement learning (MBRL) provides a way to learn a transition model of the environment, which can then be used to plan personalized policies for different patient…
Multimodal N-of-1 trials: A Novel Personalized Healthcare Design
Jingjing Fu, Shuheng Liu, Siqi Du +5
N-of-1 trials aim to estimate treatment effects on the individual level and can be applied to personalize a wide range of physical and digital interventions in mHealth. In this stu…
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
Jeffrey Chiu, Rajat Mittal, Neehal Tumma +2
Topic models are some of the most popular ways to represent textual data in an interpret-able manner. Recently, advances in deep generative models, specifically auto-encoding varia…
On Learning Prediction-Focused Mixtures
Abhishek Sharma, Catherine Zeng, Sanjana Narayanan +2
Probabilistic models help us encode latent structures that both model the data and are ideally also useful for specific downstream tasks. Among these, mixture models and their time…
Rate of Change Analysis for Interestingness Measures
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma +1
The use of Association Rule Mining techniques in diverse contexts and domains has resulted in the creation of numerous interestingness measures. This, in turn, has motivated resear…