Katherine Heller

Assistant Professor of Statistical Science

+ awarded by National Science Foundation (Principal Investigator). 2016 to 2021

BRAIN EAGER: Bayesian Models of Translational Neural Networks: Motivation and Reward awarded by National Science Foundation (Principal Investigator). 2014 to 2017

Basic predoctoral training in neuroscience awarded by National Institutes of Health (Training Faculty). 1992 to 2017

Collaborative Research: Workshop for Women in Machine Learning awarded by National Science Foundation (Principal Investigator). 2013 to 2016

Bayesian Models of Social Behavior Using Online Resources awarded by National Science Foundation (Principal Investigator). 2013 to 2015

Williamson, S, Wang, C, Heller, KA, and Blei, DM. "Nonparametric mixed membership modelling using the IBP compound dirichlet process." Mixtures: Estimation and Applications. April 25, 2011. 145-160. Full Text

Blundell, C, Teh, YW, and Heller, KA. "Discovering nonbinary hierarchical structures with Bayesian rose trees." Mixtures: Estimation and Applications. April 25, 2011. 161-187. Full Text

Futoma, J, Sendak, M, Cameron, CB, and Heller, K. "Scalable joint modeling of longitudinal and point process data for disease trajectory prediction and improving management of chronic kidney disease." 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016 (January 1, 2016): 222-231.

Jiang, J, Beck, J, Heller, K, and Egner, T. "An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands." Nature communications 6 (September 22, 2015): 8165-. Full Text

Jiang, J, Heller, K, and Egner, T. "Bayesian modeling of flexible cognitive control." Neuroscience and Biobehavioral Reviews 46.P1 (October 1, 2014): 30-43. (Review) Full Text

Jiang, J, Heller, K, and Egner, T. "Bayesian modeling of flexible cognitive control." Neuroscience and biobehavioral reviews 46 Pt 1 (October 2014): 30-43. (Review) Full Text

Letham, B, Rudin, C, and Heller, KA. "Growing a list." Data Mining and Knowledge Discovery (2013): 1-24. Full Text

Letham, B, Rudin, C, and Heller, KA. "Growing a list." Data Mining and Knowledge Discovery 27.3 (2013): 372-395. Full Text

Mohamed, S, Heller, KA, and Ghahramani, Z. "Bayesian and L 1 approaches for sparse unsupervised learning." Proceedings of the 29th International Conference on Machine Learning, ICML 2012 1 (2012): 751-758.

Dong, W, Heller, K, and Pentland, A. "Modeling infection with multi-agent dynamics." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7227 LNCS (2012): 172-179. Full Text

Beck, J, Heller, K, and Pouget, A. "Complex inference in neural circuits with probabilistic population codes and topic models." Advances in Neural Information Processing Systems 4 (2012): 3059-3067.

Blundell, C, Heller, KA, and Beck, JM. "Modelling reciprocating relationships with Hawkes processes." Advances in Neural Information Processing Systems 4 (2012): 2600-2608.

Pages

Fan, K, Zhang, Y, Henao, R, and Heller, K. "Triply stochastic variational inference for non-linear beta process factor analysis." January 31, 2017. Full Text

Tan, X, Naqvi, SAZ, Qi, A, Heller, KA, and Rao, V. "Content-based modeling of reciprocal relationships using Hawkes and Gaussian processes." January 1, 2016.

Fan, K, Eisenberg, M, Walsh, A, Aiello, A, and Heller, K. "Hierarchical graph-coupled HMMs for heterogeneous personalized health data." August 10, 2015. Full Text

Guo, F, Blundell, C, Wallach, H, and Heller, K. "The Bayesian echo chamber: Modeling social inuence via linguistic accommodation." January 1, 2015.

Wang, X, Guo, F, Heller, KA, and Dunson, DB. "Parallelizing MCMC with random partition trees." January 1, 2015.

Fan, K, Wang, Z, Beck, J, Kwok, JT, and Heller, K. "Fast second-order stochastic backpropagation for variational inference." January 1, 2015.