Christopher DuBois

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 6

Top Topics

Statistical Model

Collapsed Gibbs Sampling

Variational Bayesian Inference

Top Venues

IEEE Instrum. Meas. Mag.

Publications

Shayne Longpre, Yi Lu, Christopher DuBois
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. CoRR (2020)
Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. CoRR (2020)
Shayne Longpre, Yu Wang, Christopher DuBois
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? CoRR (2020)
Annarita Lazzari, Jean-Michel Pou, Christopher DuBois, Laurent Leblond
Smart metrology: the importance of metrology of decisions in the big data era. IEEE Instrum. Meas. Mag. 20 (6) (2017)
Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM (2016)
Christopher DuBois, Laurent Leblond, Jean-Michel Pou, Alessandro Ferrero
Covariance evaluation by means of uncertainty assessment. IEEE Instrum. Meas. Mag. 19 (6) (2016)
Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth
Approximate Slice Sampling for Bayesian Posterior Inference. AISTATS (2014)
Christopher DuBois, Carter T. Butts, Padhraic Smyth
Stochastic blockmodeling of relational event dynamics. AISTATS (2013)
Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges. SODA (2013)
James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. KDD (2013)
Nicholas Navaroli, Christopher DuBois, Padhraic Smyth
Modeling individual email patterns over time with latent variable models. Mach. Learn. 92 (2-3) (2013)
James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation CoRR (2013)
Nicholas Navaroli, Christopher DuBois, Padhraic Smyth
Statistical Models for Exploring Individual Email Communication Behavior. ACML (2012)
Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges CoRR (2012)
James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. AISTATS (2011)
Christopher DuBois, James R. Foulds, Padhraic Smyth
Latent Set Models for Two-Mode Network Data. ICWSM (2011)
Christopher DuBois, Padhraic Smyth
Modeling relational events via latent classes. KDD (2010)