Kevin Robert Canini

According to our database¹, Kevin Robert Canini authored at least 17 papers between 2009 and 2021.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2021

Fast Linear Interpolation.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2021

Regularization Strategies for Quantile Regression.

[BibT_eX]

[DOI]

CoRR, 2021

2018

Diminishing Returns Shape Constraints for Interpretability and Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Lattice Networks and Partial Monotonic Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Monotonic Calibrated Interpolated Look-Up Tables.

[BibT_eX]

[DOI]

Alexander Van Esbroeck

J. Mach. Learn. Res., 2016

Fast and Flexible Monotonic Functions with Ensembles of Lattices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Launch and Iterate: Reducing Prediction Churn.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Monotonic Calibrated Interpolated Look-Up Tables.

[BibT_eX]

[DOI]

CoRR, 2015

2013

Parallel Boosting with Momentum.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011

Nonparametric Hierarchical Bayesian Models of Categorization.

[BibT_eX]

[DOI]

Kevin Robert Canini

PhD thesis, 2011

Finding Credible Information Sources in Social Networks Based on Content and Social Structure.

[BibT_eX]

[DOI]

Kevin Robert Canini

Bongwon Suh

Peter Pirolli

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Discovering Inductive Biases in Categorization through Iterated Learning.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Segmenting and Recognizing Human Action using Low-level Video Features.

[BibT_eX]

[DOI]

Daphna Buchsbaum

Kevin Robert Canini

Thomas L. Griffiths

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Grow your own representations: Computational constructivism.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Nonparametric Bayesian Model of Multi-Level Category Learning.

[BibT_eX]

[DOI]

Kevin Robert Canini

Thomas L. Griffiths

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.

[BibT_eX]

[DOI]

Kevin Robert Canini

Mikhail M. Shashkov

Thomas L. Griffiths

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Online Inference of Topics with Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Kevin Robert Canini

Lei Shi

Thomas L. Griffiths

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Kevin Robert Canini

Timeline

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