James G. Scott

According to our database1, James G. Scott authored at least 9 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
TDAstats: R pipeline for computing persistent homology in topological data analysis.
J. Open Source Software, 2018

Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
The DFS Fused Lasso: Linear-Time Denoising over General Graphs.
Journal of Machine Learning Research, 2017

2016
Diet2Vec: Multi-scale analysis of massive dietary data.
CoRR, 2016

2015
Proximal Algorithms in Statistics and Machine Learning.
CoRR, 2015

2012
Benchmarking historical corporate performance.
Computational Statistics & Data Analysis, 2012

Fully Bayesian inference for neural models with negative-binomial spiking.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2009
Handling Sparsity via the Horseshoe.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009


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