Chris Wiggins

According to our database, Chris Wiggins authored at least 28 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

More Than Just Algorithms.

Peter Norvig, Alfred Z. Spector, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley

Commun. ACM, August, 2023

Privacy Budget Tailoring in Private Data Analysis.

Daniel Alabi, Chris Wiggins

Trans. Mach. Learn. Res., 2023

More Than Just Algorithms: A discussion with Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette Wing, Ben Fried, and Michael Tingley.

Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley

ACM Queue, 2023

2021

A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking.

Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad

J. Am. Medical Informatics Assoc., 2021

A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data.

Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad

CoRR, 2021

A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction.

Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data.

Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad

npj Digit. Medicine, 2020

An Agenda for Disinformation Research.

Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins

CoRR, 2020

2018

(Sequential) Importance Sampling Bandits.

Iñigo Urteaga, Chris H. Wiggins

CoRR, 2018

Nonparametric Gaussian mixture models for the multi-armed contextual bandit.

Iñigo Urteaga, Chris H. Wiggins

CoRR, 2018

Variational inference for the multi-armed contextual bandit.

Iñigo Urteaga, Chris Wiggins

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling.

Iñigo Urteaga, Chris H. Wiggins

CoRR, 2017

2016

Noise Expands the Response Range of the <i>Bacillus subtilis</i> Competence Circuit.

Andrew Mugler, Mark Kittisopikul, Luke Hayden, Jintao Liu, Chris H. Wiggins, Gürol M. Süel, Aleksandra M. Walczak

PLoS Comput. Biol., 2016

2015

Learning probabilistic phenotypes from heterogeneous EHR data.

Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad

J. Biomed. Informatics, 2015

Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data.

Max Greenfeld, Jan-Willem van de Meent, Dmitri S. Pavlichin, Hideo Mabuchi, Chris H. Wiggins, Ruben L. Gonzalez, Daniel Herschlag

BMC Bioinform., 2015

2014

Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer.

Francesco Abate, Sakellarios Zairis, Elisa Ficarra, Andrea Acquaviva, Chris H. Wiggins, Veronique Frattini, Anna Lasorella, Antonio Iavarone, Giorgio Inghirami, Raul Rabadan

BMC Syst. Biol., 2014

2013

Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data.

Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Inference in Hidden Markov Models with Explicit State Duration Distributions.

Michael Dewar, Chris Wiggins, Frank D. Wood

IEEE Signal Process. Lett., 2012

2010

Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development.

Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie

PLoS Comput. Biol., 2010

An Information-Theoretic Derivation of Min-Cut-Based Clustering.

Anil Raj, Chris H. Wiggins

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Graphical models for inferring single molecule dynamics.

Jonathan E. Bronson, Jake M. Hofman, Jingyi Fei, Ruben L. Gonzalez, Chris H. Wiggins

BMC Bioinform., 2010

2006

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context.

Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano

BMC Bioinform., 2006

A classification-based framework for predicting and analyzing gene regulatory response.

Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie

BMC Bioinform., 2006

2005

Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules.

Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Motif Discovery Through Predictive Modeling of Gene Regulation.

Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie

Proceedings of the Research in Computational Molecular Biology, 2005

2004

Discriminative topological features reveal biological network mechanisms.

Manuel Middendorf, Etay Ziv, Carter Adams, Jen Hom, Robin Koytcheff, Chaya Levovitz, Gregory Woods, Linda Chen, Chris Wiggins

BMC Bioinform., 2004

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response.

Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie

Proceedings of the Regulatory Genomics, 2004

Predicting genetic regulatory response using classification.

Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004