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
2482009
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
1382011
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Psychology Press, 2007
902007
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
602008
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
472008
Online collaborative filtering
J Abernethy, K Canini, J Langford, A Simma
University of California at Berkeley, Tech. Rep, 2007
422007
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
402016
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.
KR Canini, MM Shashkov, TL Griffiths
ICML, 151-158, 2010
342010
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
332013
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
252017
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
192015
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
182016
A nonparametric Bayesian model of multi-level category learning
KR Canini, TL Griffiths
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
182011
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
172014
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
172011
Nonparametric Bayesian models of categorization
TL Griffiths, AN Sanborn, KR Canini, DJ Navarro, JB Tenenbaum
Formal approaches in categorization, 173-198, 2011
132011
Launch and iterate: Reducing prediction churn
MM Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems, 3179-3187, 2016
102016
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
92012
Finding relevant sources in twitter based on content and social structure
KR Canini, B Suh, P Pirolli
NIPS Workshop, 2010
62010
Modeling human transfer learning with the hierarchical dirichlet process
KR Canini, TL Griffiths
NIPS 2009 workshop: Nonparametric Bayes, 2009
62009
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Articles 1–20