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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
3382015
Adapting the stochastic block model to edge-weighted networks
C Aicher, AZ Jacobs, A Clauset
arXiv preprint arXiv:1305.5782, 2013
992013
Adaptively truncating backpropagation through time to control gradient bias
C Aicher, NJ Foti, EB Fox
Uncertainty in Artificial Intelligence, 799-808, 2020
362020
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
282018
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
272019
Stochastic gradient MCMC for nonlinear state space models
C Aicher, S Putcha, C Nemeth, P Fearnhead, E Fox
Bayesian Analysis 1 (1), 1-23, 2023
13*2023
A variational Bayes approach to robust principal component analysis
C Aicher
REU 2013, 2013
112013
The Weighted Stochastic Block Model
C Aicher
52014
Scalable Clustering of Correlated Time Series using Expectation Propagation
C Aicher, EB Fox
2nd SIGKDD Workshop on Mining and Learning from Time Series, 2016
22016
Approximate collapsed Gibbs clustering with expectation propagation
C Aicher, EB Fox
arXiv preprint arXiv:1807.07621, 2018
12018
Scalable Learning in Latent State Sequence Models
C Aicher
2020
Supplementary Material for Adaptively Truncating BPTT to Control Gradient Bias
C Aicher, NJ Foti, EB Fox
Stochastic Gradient MCMC for Nonlinear State Space Models
S Putcha, C Aicher, C Nemeth, P Fearnhead, E Fox
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Articles 1–13