Now showing items 1-6 of 6

    • Augment-and-conquer negative binomial processes 

      Carin, Lawrence; Zhou, M (Advances in Neural Information Processing Systems, 2012-12-01)
      By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We develop fundamental properties of the models ...
    • Beta-negative binomial process and poisson factor analysis 

      Carin, Lawrence; Dunson, David B; Hannah, LA; Zhou, M (Journal of Machine Learning Research, 2012-01-01)
      © Copyright 2012 by the authors. A beta-negative binomial (BNB) process is proposed, leading to a beta-gamma-Poisson process, which may be viewed as a "multiscoop" generalization of the beta-Bernoulli process. The BNB process ...
    • Lognormal and gamma mixed negative binomial regression 

      Carin, Lawrence; Dunson, David B; Li, L; Zhou, M (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012-10-10)
      In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal and gamma mixed negative ...
    • Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling 

      Carin, Lawrence; Carlson, DE; Dunson, David B; Kipke, D; Lian, W; Stoetzner, CR; Vogelstein, Joshua T; ... (10 authors) (IEEE Transactions on Biomedical Engineering, 2014-01-01)
      We propose a methodology for joint feature learning and clustering of multichannel extracellular electrophysiological data, across multiple recording periods for action potential detection and classification (sorting). Our ...
    • Nested dictionary learning for hierarchical organization of imagery and text 

      Carin, Lawrence; Li, L; Zhang, XX; Zhou, M (Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012, 2012-12-01)
      A tree-based dictionary learning model is developed for joint analysis of imagery and associated text. The dictionary learning may be applied directly to the imagery from patches, or to general feature vectors extracted ...
    • Redox rhythm reinforces the circadian clock to gate immune response. 

      Zhou, M; Wang, W; Karapetyan, S; Mwimba, M; Marqués, J; Buchler, NE; Dong, X (Nature, 2015-07-23)
      Recent studies have shown that in addition to the transcriptional circadian clock, many organisms, including Arabidopsis, have a circadian redox rhythm driven by the organism's metabolic activities. It has been hypothesized ...