Kevin Canini
TitleCited byYear
Online inference of topics with latent Dirichlet allocation
K Canini, L Shi, T Griffiths
Artificial Intelligence and Statistics, 65-72, 2009
Finding credible information sources in social networks based on content and social structure
KR Canini, B Suh, PL Pirolli
2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Psychology Press, 2007
Categorization as nonparametric Bayesian density estimation
TL Griffiths, AN Sanborn, KR Canini, DJ Navarro
The probabilistic mind: Prospects for Bayesian cognitive science, 303-328, 2008
A case for adaptive datacenters to conserve energy and improve reliability
P Bodik, MP Armbrust, K Canini, A Fox, M Jordan, DA Patterson
University of California at Berkeley, Tech. Rep. UCB/EECS-2008-127, 2008
Online collaborative filtering
J Abernethy, K Canini, J Langford, A Simma
University of California at Berkeley, Tech. Rep, 2007
Monotonic calibrated interpolated look-up tables
M Gupta, A Cotter, J Pfeifer, K Voevodski, K Canini, A Mangylov, ...
The Journal of Machine Learning Research 17 (1), 3790-3836, 2016
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.
KR Canini, MM Shashkov, TL Griffiths
ICML, 151-158, 2010
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Deep lattice networks and partial monotonic functions
S You, D Ding, K Canini, J Pfeifer, M Gupta
Advances in Neural Information Processing Systems, 2981-2989, 2017
A nonparametric Bayesian model of multi-level category learning
KR Canini, TL Griffiths
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Revealing human inductive biases for category learning by simulating cultural transmission
KR Canini, TL Griffiths, W Vanpaemel, ML Kalish
Psychonomic Bulletin & Review 21 (3), 785-793, 2014
Segmenting and recognizing human action using low-level video features
D Buchsbaum, K Canini, T Griffiths
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
Fast and flexible monotonic functions with ensembles of lattices
MM Fard, K Canini, A Cotter, J Pfeifer, M Gupta
Advances in Neural Information Processing Systems, 2919-2927, 2016
The impact of online social networks on health and health systems: a scoping review and case studies
F Griffiths, T Dobermann, JAK Cave, M Thorogood, S Johnson, ...
Policy & internet 7 (4), 473-496, 2015
Nonparametric Bayesian models of categorization
TL Griffiths, AN Sanborn, KR Canini, DJ Navarro, JB Tenenbaum
Formal approaches in categorization, 173-198, 2011
Launch and iterate: Reducing prediction churn
MM Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems, 3179-3187, 2016
System and method for identifying users relevant to a topic of interest
B Suh, KR Canini, PL Pirolli, EH Chi
US Patent 8,275,769, 2012
Finding relevant sources in twitter based on content and social structure
KR Canini, B Suh, P Pirolli
NIPS Workshop, 2010
Modeling human transfer learning with the hierarchical dirichlet process
KR Canini, TL Griffiths
NIPS 2009 workshop: Nonparametric Bayes, 2009
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