Search Results for author: Alexander Moreno

Found 6 papers, 0 papers with code

Transformers for prompt-level EMA non-response prediction

no code implementations1 Nov 2021 Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg

The transformer model achieves a non-response prediction AUC of 0. 77 and is significantly better than classical ML and LSTM-based deep learning models.

Kernel Deformed Exponential Families for Sparse Continuous Attention

no code implementations1 Nov 2021 Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter Dempsey, James M. Rehg

Theoretically, we show new existence results for both kernel exponential and deformed exponential families, and that the deformed case has similar approximation capabilities to kernel exponential families.

iSurvive: An Interpretable, Event-time Prediction Model for mHealth

no code implementations ICML 2017 Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg

We present a parameter learning method for GLM emissions and survival model fitting, and present promising results on both synthetic data and an mHealth drug use dataset.

Survival Analysis

Automatic Variational ABC

no code implementations28 Jun 2016 Alexander Moreno, Tameem Adel, Edward Meeds, James M. Rehg, Max Welling

Approximate Bayesian Computation (ABC) is a framework for performing likelihood-free posterior inference for simulation models.

Variational Inference

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