Novi Quadrianto

According to our database, Novi Quadrianto authored at least 66 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Addressing Attribute Bias with Adversarial Support-Matching.

Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto

Trans. Mach. Learn. Res., 2024

Efficient Online Inference of Vision Transformers by Training-Free Tokenization.

Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska, Novi Quadrianto

CoRR, 2024

Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers.

Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto

CoRR, 2024

Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results.

Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Addressing Membership Inference Attack in Federated Learning with Model Compression.

Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver

CoRR, 2023

Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations.

Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto

CoRR, 2023

Water Physics Aware Semantic Segmentation through Texture-Biased U-Net Architectures.

Georgios Voulgaris, Andrew Philippides, Novi Quadrianto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Are Compressed Language Models Less Subgroup Robust?

Leonidas Gee, Andrea Zugarini, Novi Quadrianto

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis.

Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Snapshot of the Frontiers of Client Selection in Federated Learning.

Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver Ramirez

Trans. Mach. Learn. Res., 2022

A Survey on Preserving Fairness Guarantees in Changing Environments.

Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto

CoRR, 2022

Addressing Missing Sources with Adversarial Support-Matching.

Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto

CoRR, 2022

Okapi: Generalising Better by Making Statistical Matches Match.

Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Learning Robustness to Domain Shifts During Seasonal Variations.

Georgios Voulgaris, Andrew Philippides, Novi Quadrianto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

RealPatch: A Statistical Matching Framework for Model Patching with Real Samples.

Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks.

Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto

Frontiers Artif. Intell., 2021

Editorial: Ethical Machine Learning and Artificial Intelligence.

Novi Quadrianto, Björn W. Schuller, Finnian Rachel Lattimore

Frontiers Big Data, 2021

An Algorithmic Framework for Positive Action.

Oliver Thomas, Miri Zilka, Adrian Weller, Novi Quadrianto

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

2020

Tuning Fairness by Balancing Target Labels.

Thomas Kehrenberg, Zexun Chen, Novi Quadrianto

Frontiers Artif. Intell., 2020

Contrastive Examples for Addressing the Tyranny of the Majority.

Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto

CoRR, 2020

Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world.

Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto

CoRR, 2020

Null-Sampling for Interpretable and Fair Representations.

Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto

Proceedings of the Computer Vision - ECCV 2020, 2020

Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution.

Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Discovering Fair Representations in the Data Domain.

Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Quantification under class-conditional dataset shift.

David Spence, Christopher Inskip, Novi Quadrianto, David Weir

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Neural Styling for Interpretable Fair Representations.

Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas

CoRR, 2018

Interpretable Fairness via Target Labels in Gaussian Process Models.

Thomas Kehrenberg, Zexun Chen, Novi Quadrianto

CoRR, 2018

2017

Learning Using Privileged Information.

Viktoriia Sharmanska, Novi Quadrianto

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

Gaussian Process.

Novi Quadrianto, Kristian Kersting, Zhao Xu

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

Regression.

Novi Quadrianto, Wray L. Buntine

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

Linear Regression.

Novi Quadrianto, Wray L. Buntine

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

Linear Discriminant.

Novi Quadrianto, Wray L. Buntine

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

Recycling Privileged Learning and Distribution Matching for Fairness.

Novi Quadrianto, Viktoriia Sharmanska

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.

Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen

Proceedings of the 34th International Conference on Machine Learning, 2017

Gray-box Inference for Structured Gaussian Process Models.

Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Learning Using Unselected Features (LUFe).

Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Clustering High Dimensional Categorical Data via Topographical Features.

Chao Chen, Novi Quadrianto

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning.

Viktoriia Sharmanska, Novi Quadrianto

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations.

Viktoriia Sharmanska, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Novi Quadrianto

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Very Simple Safe-Bayesian Random Forest.

Novi Quadrianto, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

GPstruct: Bayesian Structured Prediction Using Gaussian Processes.

Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

Learning to Transfer Privileged Information.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

CoRR, 2014

Mind the Nuisance: Gaussian Process Classification using Privileged Noise.

Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto

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.

Sébastien Bratières, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Bayesian Structured Prediction Using Gaussian Processes.

Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani

CoRR, 2013

The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.

Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning to Rank Using Privileged Information.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

The Most Persistent Soft-Clique in a Set of Sampled Graphs.

Novi Quadrianto, Chao Chen, Christoph H. Lampert

Proceedings of the 29th International Conference on Machine Learning, 2012

Augmented Attribute Representations.

Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

Proceedings of the Computer Vision - ECCV 2012, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.

Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Learning Multi-View Neighborhood Preserving Projections.

Novi Quadrianto, Christoph H. Lampert

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Gaussian Process.

Novi Quadrianto, Kristian Kersting, Zhao Xu

Proceedings of the Encyclopedia of Machine Learning, 2010

Regression.

Novi Quadrianto, Wray L. Buntine

Proceedings of the Encyclopedia of Machine Learning, 2010

Linear Regression.

Novi Quadrianto, Wray L. Buntine

Proceedings of the Encyclopedia of Machine Learning, 2010

Linear Discriminant.

Novi Quadrianto, Wray L. Buntine

Proceedings of the Encyclopedia of Machine Learning, 2010

Kernelized Sorting.

Novi Quadrianto, Alexander J. Smola, Le Song, Tinne Tuytelaars

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

Multitask Learning without Label Correspondences.

Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson

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.

Gilbert Leung, Novi Quadrianto, Alexander J. Smola, Kostas Tsioutsiouliklis

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.

Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Distributed Flow Algorithms for Scalable Similarity Visualization.

Novi Quadrianto, Dale Schuurmans, Alexander J. Smola

Proceedings of the ICDMW 2010, 2010

2009

Estimating Labels from Label Proportions.

Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, Quoc V. Le

J. Mach. Learn. Res., 2009

Distribution Matching for Transduction.

Novi Quadrianto, James Petterson, Alexander J. Smola

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.

Novi Quadrianto, Tibério S. Caetano, John Lim, Dale Schuurmans

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.

Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine

Proceedings of the ICDM 2009, 2009

Learning based automatic face annotation for arbitrary poses and expressions from frontal images only.

Akshay Asthana, Roland Goecke, Novi Quadrianto, Tom Gedeon

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Kernelized Sorting.

Novi Quadrianto, Le Song, Alexander J. Smola

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