Novi Quadrianto

According to our database1, Novi Quadrianto authored at least 37 papers between 2008 and 2017.

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Bibliography

2017
Learning Using Privileged Information.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Gaussian Process.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Regression.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Linear Regression.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Linear Discriminant.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Recycling Privileged Learning and Distribution Matching for Fairness.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data.
Proceedings of the 34th International Conference on Machine Learning, 2017

Gray-box Inference for Structured Gaussian Process Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Learning Using Unselected Features (LUFe).
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Clustering High Dimensional Categorical Data via Topographical Features.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Very Simple Safe-Bayesian Random Forest.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

GPstruct: Bayesian Structured Prediction Using Gaussian Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning to Rank Using Privileged Information.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
The Most Persistent Soft-Clique in a Set of Sampled Graphs.
Proceedings of the 29th International Conference on Machine Learning, 2012

Augmented Attribute Representations.
Proceedings of the Computer Vision - ECCV 2012, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Learning Multi-View Neighborhood Preserving Projections.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Gaussian Process.
Proceedings of the Encyclopedia of Machine Learning, 2010

Regression.
Proceedings of the Encyclopedia of Machine Learning, 2010

Linear Regression.
Proceedings of the Encyclopedia of Machine Learning, 2010

Linear Discriminant.
Proceedings of the Encyclopedia of Machine Learning, 2010

Kernelized Sorting.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Multitask Learning without Label Correspondences.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimal Web-Scale Tiering as a Flow Problem.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Beyond 2D-grids: a dependence maximization view on image browsing.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Distributed Flow Algorithms for Scalable Similarity Visualization.
Proceedings of the ICDMW 2010, 2010

2009
Distribution Matching for Transduction.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Convex Relaxation of Mixture Regression with Efficient Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Kernel Conditional Quantile Estimation via Reduction Revisited.
Proceedings of the ICDM 2009, 2009

Learning based automatic face annotation for arbitrary poses and expressions from frontal images only.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Kernelized Sorting.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Estimating labels from label proportions.
Proceedings of the Machine Learning, 2008


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