Kevin Robert Canini

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 8

Top Venues

CoRR

NIPS

J. Mach. Learn. Res.

Trans. Mach. Learn. Res.

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation. Trans. Mach. Learn. Res. 2024 (2024)
Taman Narayan, Serena Wang, Kevin Robert Canini, Maya R. Gupta
Regularization Strategies for Quantile Regression. CoRR (2021)
Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Robert Canini
Diminishing Returns Shape Constraints for Interpretability and Regularization. NeurIPS (2018)
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
Deep Lattice Networks and Partial Monotonic Functions. NIPS (2017)
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
Deep Lattice Networks and Partial Monotonic Functions. CoRR (2017)
Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta
Launch and Iterate: Reducing Prediction Churn. NIPS (2016)
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck
Monotonic Calibrated Interpolated Look-Up Tables. J. Mach. Learn. Res. 17 (2016)
Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta
Fast and Flexible Monotonic Functions with Ensembles of Lattices. NIPS (2016)
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski
Monotonic Calibrated Interpolated Look-Up Tables. CoRR (2015)
Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer
Parallel Boosting with Momentum. ECML/PKDD (3) (2013)
Kevin Robert Canini, Thomas L. Griffiths, Wolf Vanpaemel, Michael L. Kalish
Discovering Inductive Biases in Categorization through Iterated Learning. CogSci (2011)
Kevin Robert Canini, Bongwon Suh, Peter Pirolli
Finding Credible Information Sources in Social Networks Based on Content and Social Structure. SocialCom/PASSAT (2011)
Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
Grow your own representations: Computational constructivism. CogSci (2011)
Daphna Buchsbaum, Kevin Robert Canini, Thomas L. Griffiths
Segmenting and Recognizing Human Action using Low-level Video Features. CogSci (2011)
Kevin Robert Canini, Thomas L. Griffiths
A Nonparametric Bayesian Model of Multi-Level Category Learning. AAAI (2011)
Kevin Robert Canini, Mikhail M. Shashkov, Thomas L. Griffiths
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process. ICML (2010)
Kevin Robert Canini, Lei Shi, Thomas L. Griffiths
Online Inference of Topics with Latent Dirichlet Allocation. AISTATS (2009)

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Publication Activity (10 Years)

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Kevin Robert Canini