| Learning latent block structure in weighted networks C Aicher, AZ Jacobs, A Clauset Journal of Complex Networks 3 (2), 221-248, 2015 | 355 | 2015 |
| Adapting the stochastic block model to edge-weighted networks C Aicher, AZ Jacobs, A Clauset arXiv preprint arXiv:1305.5782, 2013 | 103 | 2013 |
| Adaptively truncating backpropagation through time to control gradient bias C Aicher, NJ Foti, EB Fox Uncertainty in Artificial Intelligence, 799-808, 2020 | 38 | 2020 |
| 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 | 31 | 2018 |
| 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 | 30 | 2019 |
| 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 | 15 | 2023 |
| A variational Bayes approach to robust principal component analysis C Aicher REU 2013, 2013 | 14 | 2013 |
| The Weighted Stochastic Block Model C Aicher | 5 | 2014 |
| Scalable Clustering of Correlated Time Series using Expectation Propagation C Aicher, EB Fox 2nd SIGKDD Workshop on Mining and Learning from Time Series, 2016 | 2 | 2016 |
| Approximate collapsed Gibbs clustering with expectation propagation C Aicher, EB Fox arXiv preprint arXiv:1807.07621, 2018 | 1 | 2018 |
| 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 | | |
