1 code implementation • 24 Feb 2021 • Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
Our model offers several advantages: 1) accounting explicitly for self-tracking artifacts yields better prediction accuracy as likelihood of skipping increases; 2) because it is a generative model, predictions can be updated online as a given cycle evolves, and we can gain interpretable insight into how these predictions change over time; and 3) its hierarchical nature enables modeling of an individual's cycle length history while incorporating population-level information.
1 code implementation • 13 Dec 2018 • Wesley Tansey, Kathy Li, Haoran Zhang, Scott W. Linderman, Raul Rabadan, David M. Blei, Chris H. Wiggins
Personalized cancer treatments based on the molecular profile of a patient's tumor are an emerging and exciting class of treatments in oncology.
Applications
1 code implementation • 8 Aug 2018 • Iñigo Urteaga, Chris H. Wiggins
This work extends existing multi-armed bandit (MAB) algorithms beyond their original settings by leveraging advances in sequential Monte Carlo (SMC) methods from the approximate inference community.
1 code implementation • 8 Aug 2018 • Iñigo Urteaga, Chris H. Wiggins
The proposed Bayesian nonparametric mixture model Thompson sampling sequentially learns the reward model that best approximates the true, yet unknown, per-arm reward distribution, achieving successful regret performance.
1 code implementation • 10 Sep 2017 • Iñigo Urteaga, Chris H. Wiggins
Reinforcement learning studies how to balance exploration and exploitation in real-world systems, optimizing interactions with the world while simultaneously learning how the world operates.
1 code implementation • 10 Sep 2017 • Iñigo Urteaga, Chris H. Wiggins
One general class of algorithms for optimizing interactions with the world, while simultaneously learning how the world operates, is the multi-armed bandit setting and, in particular, the contextual bandit case.
no code implementations • 5 Jan 2014 • Amy Rebecca Gansell, Jan-Willem van de Meent, Sakellarios Zairis, Chris H. Wiggins
Thousands of first-millennium BCE ivory carvings have been excavated from Neo-Assyrian sites in Mesopotamia (primarily Nimrud, Khorsabad, and Arslan Tash) hundreds of miles from their Levantine production contexts.
no code implementations • 15 May 2013 • Jan-Willem van de Meent, Jonathan E. Bronson, Frank Wood, Ruben L. Gonzalez Jr., Chris H. Wiggins
We address the problem of analyzing sets of noisy time-varying signals that all report on the same process but confound straightforward analyses due to complex inter-signal heterogeneities and measurement artifacts.
no code implementations • 21 Sep 2007 • Jake M. Hofman, Chris H. Wiggins
We present an efficient, principled, and interpretable technique for inferring module assignments and for identifying the optimal number of modules in a given network.