David Draper

According to our database1, David Draper authored at least 14 papers between 2000 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Representation Theorem for Matrix Product States.
CoRR, 2021

Infinitely Wide Tensor Networks as Gaussian Process.
CoRR, 2021

The Bayesian Method of Tensor Networks.
CoRR, 2021

2020
Asynchronous Gibbs Sampling.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model.
Stat. Comput., 2019

Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2017
A Noninformative Prior on a Space of Distribution Functions.
Entropy, 2017

2016
GPU-accelerated Gibbs Sampling.
CoRR, 2016

2011
Exchangeability.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2009
Bayesian Statistics.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

2008
Parametric and nonparametric Bayesian model specification: A case study involving models for count data.
Comput. Stat. Data Anal., 2008

2004
Program quality with pair programming in CS1.
Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2004

2000
A Case Study of Stochastic Optimization in Health Policy: Problem Formulation and Preliminary Results.
J. Glob. Optim., 2000

Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models.
Comput. Stat., 2000


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