no code implementations • NeurIPS 2012 • Risi Kondor, Walter Dempsey
There is no generally accepted way to define wavelets on permutations.
no code implementations • NeurIPS 2020 • Alexander Moreno, Zhenke Wu, Jamie Yap, David Wetter, Cho Lam, Inbal Nahum-Shani, Walter Dempsey, James M. Rehg
Panel count data describes aggregated counts of recurrent events observed at discrete time points.
2 code implementations • 2 Feb 2021 • Jieru Shi, Zhenke Wu, Walter Dempsey
The micro-randomized trial (MRT) is a sequential randomized experimental design to empirically evaluate the effectiveness of mobile health (mHealth) intervention components that may be delivered at hundreds or thousands of decision points.
Methodology
no code implementations • 1 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.
1 code implementation • 28 Jun 2023 • Jieru Shi, Walter Dempsey
Twin revolutions in wearable technologies and smartphone-delivered digital health interventions have significantly expanded the accessibility and uptake of mobile health (mHealth) interventions across various health science domains.
1 code implementation • 5 Feb 2024 • Anna L. Trella, Walter Dempsey, Finale Doshi-Velez, Susan A. Murphy
We consider the stochastic multi-armed bandit problem with non-stationary rewards.
no code implementations • EMNLP (CINLP) 2021 • Daniel Low, Kelly Zuromski, Daniel Kessler, Satrajit S. Ghosh, Matthew K. Nock, Walter Dempsey
We use propensity score stratification, a causal inference method for observational data, and estimate whether the amount of comments —as a measure of social support— increases or decreases the likelihood of posting again on SW. One hypothesis is that receiving more comments may decrease the likelihood of the user posting in SW in the future, either by reducing symptoms or because comments from untrained peers may be harmful.