Christopher Aicher

According to our database, Christopher Aicher authored at least 6 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Stochastic Gradient MCMC for State Space Models.

Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox

SIAM J. Math. Data Sci., 2019

Stochastic Gradient MCMC for Nonlinear State Space Models.

Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox

CoRR, 2019

Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.

Christopher Aicher, Nicholas J. Foti, Emily B. Fox

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Approximate Collapsed Gibbs Clustering with Expectation Propagation.

Christopher Aicher, Emily B. Fox

CoRR, 2018

2015

Learning latent block structure in weighted networks.

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

J. Complex Networks, 2015

2013

Adapting the Stochastic Block Model to Edge-Weighted Networks

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

CoRR, 2013