James G. Scott

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 9

Top Topics

Persistent Homology

Statistics And Machine Learning

Total Variation

Top Venues

Comput. Environ. Urban Syst.

J. Mach. Learn. Res.

Publications

Mauricio Tec, James G. Scott, Corwin M. Zigler
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. AAAI (2023)
Tyler Buffington, James G. Scott, Ofodike A. Ezekoye
Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level. Comput. Environ. Urban Syst. 88 (2021)
Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers
Socioeconomic bias in influenza surveillance. PLoS Comput. Biol. 16 (7) (2020)
Raoul R. Wadhwa, Drew F. K. Williamson, Andrew Dhawan, James G. Scott
TDAstats: R pipeline for computing persistent homology in topological data analysis. J. Open Source Softw. 3 (28) (2018)
Wesley Tansey, Jesse Thomason, James G. Scott
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. AAAI (2018)
Wesley Tansey, Karl Pichotta, James G. Scott
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. AAAI (2018)
Oscar Hernan Madrid Padilla, James Sharpnack, James G. Scott, Ryan J. Tibshirani
The DFS Fused Lasso: Linear-Time Denoising over General Graphs. J. Mach. Learn. Res. 18 (2017)
Wesley Tansey, Edward W. Lowe Jr., James G. Scott
Diet2Vec: Multi-scale analysis of massive dietary data. CoRR (2016)
Nicholas G. Polson, James G. Scott, Brandon T. Willard
Proximal Algorithms in Statistics and Machine Learning. CoRR (2015)
Jonathan W. Pillow, James G. Scott
Fully Bayesian inference for neural models with negative-binomial spiking. NIPS (2012)
James G. Scott
Benchmarking historical corporate performance. Comput. Stat. Data Anal. 56 (6) (2012)
Carlos M. Carvalho, Nicholas G. Polson, James G. Scott
Handling Sparsity via the Horseshoe. AISTATS (2009)