Kernelized Sorting. - Novi Quadrianto; Le Song; Alexander J. Smola (NIPS, 2008)

Learning based automatic face annotation for arbitrary poses and expressions from frontal images only. - Akshay Asthana; Roland Goecke; Novi Quadrianto; Tom Gedeon (CVPR, 2009)

Kernel Conditional Quantile Estimation via Reduction Revisited. - Novi Quadrianto; Kristian Kersting; Mark D. Reid; Tibério S. Caetano; Wray L. Buntine (ICDM, 2009)

Convex Relaxation of Mixture Regression with Efficient Algorithms. - Novi Quadrianto; Tibério S. Caetano; John Lim; Dale Schuurmans (NIPS, 2009)

Distribution Matching for Transduction. - Novi Quadrianto; James Petterson; Alexander J. Smola (NIPS, 2009)

Estimating Labels from Label Proportions. - Novi Quadrianto; Alexander J. Smola; Tibério S. Caetano; Quoc V. Le (J. Mach. Learn. Res., 2009)

Distributed Flow Algorithms for Scalable Similarity Visualization. - Novi Quadrianto; Dale Schuurmans; Alexander J. Smola (ICDM Workshops, 2010)

Beyond 2D-grids: a dependence maximization view on image browsing. - Novi Quadrianto; Kristian Kersting; Tinne Tuytelaars; Wray L. Buntine (Multimedia Information Retrieval, 2010)

Optimal Web-Scale Tiering as a Flow Problem. - Gilbert Leung; Novi Quadrianto; Alexander J. Smola; Kostas Tsioutsiouliklis (NIPS, 2010)

Multitask Learning without Label Correspondences. - Novi Quadrianto; Alexander J. Smola; Tibério S. Caetano; S. V. N. Vishwanathan; James Petterson (NIPS, 2010)

Kernelized Sorting. - Novi Quadrianto; Alexander J. Smola; Le Song; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Linear Discriminant. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning, 2010)

Linear Regression. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning, 2010)

Regression. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning, 2010)

Gaussian Process. - Novi Quadrianto; Kristian Kersting; Zhao Xu 001 (Encyclopedia of Machine Learning, 2010)

Learning Multi-View Neighborhood Preserving Projections. - Novi Quadrianto; Christoph H. Lampert (ICML, 2011)

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. - Tatiana Tommasi; Novi Quadrianto; Barbara Caputo; Christoph H. Lampert (ACCV (1), 2012)

Augmented Attribute Representations. - Viktoriia Sharmanska; Novi Quadrianto; Christoph H. Lampert (ECCV (5), 2012)

The Most Persistent Soft-Clique in a Set of Sampled Graphs. - Novi Quadrianto; Chao Chen 012; Christoph H. Lampert (ICML, 2012)

Learning to Rank Using Privileged Information. - Viktoriia Sharmanska; Novi Quadrianto; Christoph H. Lampert (ICCV, 2013)

The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. - Novi Quadrianto; Viktoriia Sharmanska; David A. Knowles; Zoubin Ghahramani (UAI, 2013)

Bayesian Structured Prediction Using Gaussian Processes. - Sébastien Bratières; Novi Quadrianto; Zoubin Ghahramani (CoRR, 2013)

Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. - Sébastien Bratières; Novi Quadrianto; Sebastian Nowozin; Zoubin Ghahramani (ICML, 2014)

Mind the Nuisance: Gaussian Process Classification using Privileged Noise. - Daniel Hernández-Lobato; Viktoriia Sharmanska; Kristian Kersting; Christoph H. Lampert; Novi Quadrianto (NIPS, 2014)

Learning to Transfer Privileged Information. - Viktoriia Sharmanska; Novi Quadrianto; Christoph H. Lampert (CoRR, 2014)

GPstruct: Bayesian Structured Prediction Using Gaussian Processes. - Sébastien Bratières; Novi Quadrianto; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

A Very Simple Safe-Bayesian Random Forest. - Novi Quadrianto; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations. - Viktoriia Sharmanska; Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Novi Quadrianto (CVPR, 2016)

Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning. - Viktoriia Sharmanska; Novi Quadrianto (CVPR, 2016)

Clustering High Dimensional Categorical Data via Topographical Features. - Chao Chen 012; Novi Quadrianto (ICML, 2016)

Learning Using Unselected Features (LUFe). - Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto (IJCAI, 2016)

Gray-box Inference for Structured Gaussian Process Models. - Pietro Galliani; Amir Dezfouli; Edwin V. Bonilla; Novi Quadrianto (AISTATS, 2017)

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. - Xiuyan Ni; Novi Quadrianto; Yusu Wang 001; Chao Chen 012 (ICML, 2017)

Recycling Privileged Learning and Distribution Matching for Fairness. - Novi Quadrianto; Viktoriia Sharmanska (NIPS, 2017)

Linear Discriminant. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning and Data Mining, 2017)

Linear Regression. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning and Data Mining, 2017)

Regression. - Novi Quadrianto; Wray L. Buntine (Encyclopedia of Machine Learning and Data Mining, 2017)

Gaussian Process. - Novi Quadrianto; Kristian Kersting; Zhao Xu 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

Learning Using Privileged Information. - Viktoriia Sharmanska; Novi Quadrianto (Encyclopedia of Machine Learning and Data Mining, 2017)

Interpretable Fairness via Target Labels in Gaussian Process Models. - Thomas Kehrenberg; Zexun Chen; Novi Quadrianto (CoRR, 2018)

Neural Styling for Interpretable Fair Representations. - Novi Quadrianto; Viktoriia Sharmanska; Oliver Thomas 002 (CoRR, 2018)

Quantification under class-conditional dataset shift. - David Spence; Christopher Inskip; Novi Quadrianto; David Weir (ASONAM, 2019)

Discovering Fair Representations in the Data Domain. - Novi Quadrianto; Viktoriia Sharmanska; Oliver Thomas 002 (CVPR, 2019)

Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. - Artyom Gadetsky; Kirill Struminsky; Christopher Robinson; Novi Quadrianto; Dmitry P. Vetrov (AAAI, 2020)

Null-Sampling for Interpretable and Fair Representations. - Thomas Kehrenberg; Myles Bartlett; Oliver Thomas 002; Novi Quadrianto (ECCV (26), 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)

Contrastive Examples for Addressing the Tyranny of the Majority. - Viktoriia Sharmanska; Lisa Anne Hendricks; Trevor Darrell; Novi Quadrianto (CoRR, 2020)

Tuning Fairness by Balancing Target Labels. - Thomas Kehrenberg; Zexun Chen; Novi Quadrianto (Frontiers Artif. Intell., 2020)

An Algorithmic Framework for Positive Action. - Oliver Thomas 002; Miri Zilka; Adrian Weller; Novi Quadrianto (EAAMO, 2021)

Editorial: Ethical Machine Learning and Artificial Intelligence. - Novi Quadrianto; Björn W. Schuller; Finnian Rachel Lattimore (Frontiers Big Data, 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)

RealPatch: A Statistical Matching Framework for Model Patching with Real Samples. - Sara Romiti; Christopher Inskip; Viktoriia Sharmanska; Novi Quadrianto (ECCV (25), 2022)

Deep Learning Robustness to Domain Shifts During Seasonal Variations. - Georgios Voulgaris; Andrew Philippides; Novi Quadrianto (IGARSS, 2022)

Okapi: Generalising Better by Making Statistical Matches Match. - Myles Bartlett; Sara Romiti; Viktoriia Sharmanska; Novi Quadrianto (NeurIPS, 2022)

Addressing Missing Sources with Adversarial Support-Matching. - Thomas Kehrenberg; Myles Bartlett; Viktoriia Sharmanska; Novi Quadrianto (CoRR, 2022)

A Survey on Preserving Fairness Guarantees in Changing Environments. - Ainhize Barrainkua; Paula Gordaliza; José Antonio Lozano 001; Novi Quadrianto (CoRR, 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)

Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis. - Georgios Voulgaris; Andy Philippides; Jonathan Dolley; Jeremy Reffin; Fiona Marshall; Novi Quadrianto (CVPR Workshops, 2023)

Are Compressed Language Models Less Subgroup Robust? - Leonidas Gee; Andrea Zugarini; Novi Quadrianto (EMNLP, 2023)

Water Physics Aware Semantic Segmentation through Texture-Biased U-Net Architectures. - Georgios Voulgaris; Andrew Philippides; Novi Quadrianto (IGARSS, 2023)

Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. - Ainhize Barrainkua; Paula Gordaliza; José Antonio Lozano 001; Novi Quadrianto (CoRR, 2023)

Addressing Membership Inference Attack in Federated Learning with Model Compression. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (CoRR, 2023)

Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results. - Ainhize Barrainkua; Paula Gordaliza; José Antonio Lozano 001; Novi Quadrianto (AISTATS, 2024)

Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers. - Ainhize Barrainkua; Paula Gordaliza; José Antonio Lozano 001; Novi Quadrianto (CoRR, 2024)

Efficient Online Inference of Vision Transformers by Training-Free Tokenization. - Leonidas Gee; Wing Yan Li; Viktoriia Sharmanska; Novi Quadrianto (CoRR, 2024)

Addressing Attribute Bias with Adversarial Support-Matching. - Thomas Kehrenberg; Myles Bartlett; Viktoriia Sharmanska; Novi Quadrianto (Trans. Mach. Learn. Res., 2024)

Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (IEEE Access, 2025)

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. - Gergely Dániel Németh; Eros Fanì; Yeat Jeng Ng; Barbara Caputo; Miguel Angel Lozano; Nuria Oliver; Novi Quadrianto (CoRR, 2025)

The Decoupled Risk Landscape in Performative Prediction. - Javier Sanguino; Thomas Kehrenberg; José Antonio Lozano 001; Novi Quadrianto (CoRR, 2025)

Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey. - Ainhize Barrainkua; Paula Gordaliza; José Antonio Lozano 001; Novi Quadrianto (ACM Comput. Surv., 2025)