Christopher Aicher
Christopher Aicher
Quantitative Researcher, Citadel Securities
Verified email at uw.edu
Title
Cited by
Cited by
Year
Learning latent block structure in weighted networks
C Aicher, AZ Jacobs, A Clauset
Journal of Complex Networks 3 (2), 221-248, 2015
1932015
Adapting the stochastic block model to edge-weighted networks
C Aicher, AZ Jacobs, A Clauset
arXiv preprint arXiv:1305.5782, 2013
532013
A variational Bayes approach to robust principal component analysis
C Aicher
REU 2013, 2013
132013
Stochastic Gradient MCMC for State Space Models
C Aicher, YA Ma, NJ Foti, EB Fox
SIAM Journal on Mathematics of Data Science 1 (3), 555-587, 2019
62019
Embodied carbon as a proxy for the environmental impact of earthquake damage repair
K Simonen, M Huang, C Aicher, P Morris
Energy and Buildings 164, 131-139, 2018
62018
Stochastic gradient mcmc for nonlinear state space models
C Aicher, S Putcha, C Nemeth, P Fearnhead, EB Fox
arXiv preprint arXiv:1901.10568, 2019
42019
Adaptively truncating backpropagation through time to control gradient bias
C Aicher, NJ Foti, EB Fox
arXiv preprint arXiv:1905.07473, 2019
32019
Approximate collapsed Gibbs clustering with expectation propagation
C Aicher, EB Fox
arXiv preprint arXiv:1807.07621, 2018
12018
Scalable Clustering of Correlated Time Series using Expectation Propagation
C Aicher, EB Fox
2nd SIGKDD Workshop on Mining and Learning from Time Series, 2016
12016
The Weighted Stochastic Block Model
C Aicher
12014
Scalable Learning in Latent State Sequence Models
C Aicher
2020
Stochastic Gradient MCMC for Nonlinear State Space Models
S Putcha, C Aicher, C Nemeth, P Fearnhead, E Fox
Journal of Complex Networks
M De Domenico, MA Porter, A Arenas, R Lambiotte, V Salnikov, M Rosvall, ...
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