Kevin Canini
Title
Cited by
Cited by
Year
Online inference of topics with latent Dirichlet allocation
K Canini, L Shi, T Griffiths
Artificial Intelligence and Statistics, 65-72, 2009
2772009
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
1812011
Unifying rational models of categorization via the hierarchical Dirichlet process
T Griffiths, K Canini, A Sanborn, D Navarro
Psychology Press, 2007
1032007
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
822016
Deep lattice networks and partial monotonic functions
S You, D Ding, K Canini, J Pfeifer, M Gupta
arXiv preprint arXiv:1709.06680, 2017
722017
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
632008
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
452007
Modeling transfer learning in human categorization with the hierarchical Dirichlet process
KR Canini, MM Shashkov, TL Griffiths
ICML, 2010
422010
Fast and flexible monotonic functions with ensembles of lattices
M Milani Fard, K Canini, A Cotter, J Pfeifer, M Gupta
Advances in Neural Information Processing Systems 29, 2919-2927, 2016
372016
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
362013
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
242014
A nonparametric Bayesian model of multi-level category learning
K Canini, T Griffiths
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
232011
Nonparametric Bayesian models of categorization
TL Griffiths, AN Sanborn, KR Canini, DJ Navarro, JB Tenenbaum
Formal approaches in categorization, 173-198, 2011
182011
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
162011
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
122012
Diminishing returns shape constraints for interpretability and regularization
MR Gupta, D Bahri, A Cotter, K Canini
Proceedings of the 32nd International Conference on Neural Information …, 2018
112018
Launch and iterate: Reducing prediction churn
M Milani Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems 29, 3179-3187, 2016
112016
Finding relevant sources in twitter based on content and social structure
KR Canini, B Suh, P Pirolli
NIPS Workshop, 2010
82010
Modeling human transfer learning with the hierarchical dirichlet process
KR Canini, TL Griffiths
NIPS 2009 workshop: Nonparametric Bayes, 2009
72009
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