Kevin Robert Canini

19 papers A* 3A 1B 3Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation.
Trans. Mach. Learn. Res.
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2021 J jnl
Fast Linear Interpolation.
ACM J. Emerg. Technol. Comput. Syst.
Nathan Zhang, Kevin Robert Canini, Sean Silva, Maya R. Gupta
2021 J jnl
Regularization Strategies for Quantile Regression.
CoRR
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2018 A* conf
Diminishing Returns Shape Constraints for Interpretability and Regularization.
NeurIPS
Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Robert Canini
2017 — conf
Deep Lattice Networks and Partial Monotonic Functions.
NIPS
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2017 J jnl
Deep Lattice Networks and Partial Monotonic Functions.
CoRR
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2016 — conf
Fast and Flexible Monotonic Functions with Ensembles of Lattices.
NIPS
Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta
2016 — conf
Launch and Iterate: Reducing Prediction Churn.
NIPS
Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta
2016 J jnl
Monotonic Calibrated Interpolated Look-Up Tables.
J. Mach. Learn. Res.
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck
2015 J jnl
Monotonic Calibrated Interpolated Look-Up Tables.
CoRR
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski
2013 — conf
Parallel Boosting with Momentum.
ECML/PKDD (3)
Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer
2011 A* conf
A Nonparametric Bayesian Model of Multi-Level Category Learning.
AAAI
Kevin Robert Canini, Thomas L. Griffiths
2011 B conf
Discovering Inductive Biases in Categorization through Iterated Learning.
CogSci
Kevin Robert Canini, Thomas L. Griffiths, Wolf Vanpaemel, Michael L. Kalish
2011 — conf
Finding Credible Information Sources in Social Networks Based on Content and Social Structure.
SocialCom/PASSAT
Kevin Robert Canini, Bongwon Suh, Peter Pirolli
2011 B conf
Grow your own representations: Computational constructivism.
CogSci
Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
2011 — —
Nonparametric Hierarchical Bayesian Models of Categorization.
Kevin Robert Canini
2011 B conf
Segmenting and Recognizing Human Action using Low-level Video Features.
CogSci
Daphna Buchsbaum, Kevin Robert Canini, Thomas L. Griffiths
2010 A* conf
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.
ICML
Kevin Robert Canini, Mikhail M. Shashkov, Thomas L. Griffiths
2009 A conf
Online Inference of Topics with Latent Dirichlet Allocation.
AISTATS
Kevin Robert Canini, Lei Shi, Thomas L. Griffiths