Novi Quadrianto

85 papers A* 17A 3B 1C 2Journal 38Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Performative Prediction: A Comprehensive Survey. CoRR Thomas Kehrenberg, Javier Sanguino, José Antonio Lozano, Novi Quadrianto
2026	A*	`conf`	Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden. AAAI Ainhize Barrainkua, Giovanni De Toni, José Antonio Lozano, Novi Quadrianto
2026	J	`jnl`	Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective. CoRR Ainhize Barrainkua, Santiago Mazuelas, Novi Quadrianto, José Antonio Lozano
2025	J	`jnl`	Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. CoRR Gergely Dániel Németh, Eros Fanì, Yeat Jeng Ng, Barbara Caputo, Miguel Angel Lozano, Nuria Oliver, Novi Quadrianto
2025	J	`jnl`	Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey. ACM Comput. Surv. Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2025	J	`jnl`	Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. IEEE Access Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2025	J	`jnl`	The Decoupled Risk Landscape in Performative Prediction. CoRR Javier Sanguino, Thomas Kehrenberg, José Antonio Lozano, Novi Quadrianto
2025	J	`jnl`	Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers. Trans. Mach. Learn. Res. Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska, Novi Quadrianto
2025	J	`jnl`	Who Pays for Fairness? Rethinking Recourse under Social Burden. CoRR Ainhize Barrainkua, Giovanni De Toni, José Antonio Lozano, Novi Quadrianto
2024	J	`jnl`	Addressing Attribute Bias with Adversarial Support-Matching. Trans. Mach. Learn. Res. Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto
2024	J	`jnl`	Are Compressed Language Models Less Subgroup Robust? CoRR Leonidas Gee, Andrea Zugarini, Novi Quadrianto
2024	J	`jnl`	Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers. CoRR Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2024	J	`jnl`	Efficient Online Inference of Vision Transformers by Training-Free Tokenization. CoRR Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska, Novi Quadrianto
2024	A	`conf`	Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results. AISTATS Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2023	J	`jnl`	Addressing Membership Inference Attack in Federated Learning with Model Compression. CoRR Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2023	A*	`conf`	Are Compressed Language Models Less Subgroup Robust? EMNLP Leonidas Gee, Andrea Zugarini, Novi Quadrianto
2023	—	`conf`	Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis. CVPR Workshops Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto
2023	J	`jnl`	Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. CoRR Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2023	C	`conf`	Water Physics Aware Semantic Segmentation through Texture-Biased U-Net Architectures. IGARSS Georgios Voulgaris, Andrew Philippides, Novi Quadrianto
2022	J	`jnl`	A Snapshot of the Frontiers of Client Selection in Federated Learning. CoRR Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2022	J	`jnl`	A Snapshot of the Frontiers of Client Selection in Federated Learning. Trans. Mach. Learn. Res. Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver Ramirez
2022	J	`jnl`	A Survey on Preserving Fairness Guarantees in Changing Environments. CoRR Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2022	J	`jnl`	Addressing Missing Sources with Adversarial Support-Matching. CoRR Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto
2022	C	`conf`	Deep Learning Robustness to Domain Shifts During Seasonal Variations. IGARSS Georgios Voulgaris, Andrew Philippides, Novi Quadrianto
2022	A*	`conf`	Okapi: Generalising Better by Making Statistical Matches Match. NeurIPS Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto
2022	J	`jnl`	Okapi: Generalising Better by Making Statistical Matches Match. CoRR Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto
2022	—	`conf`	RealPatch: A Statistical Matching Framework for Model Patching with Real Samples. ECCV (25) Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto
2022	J	`jnl`	RealPatch: A Statistical Matching Framework for Model Patching with Real Samples. CoRR Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto
2021	—	`conf`	An Algorithmic Framework for Positive Action. EAAMO Oliver Thomas, Miri Zilka, Adrian Weller, Novi Quadrianto
2021	J	`jnl`	Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks. Frontiers Artif. Intell. Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
2021	J	`jnl`	Editorial: Ethical Machine Learning and Artificial Intelligence. Frontiers Big Data Novi Quadrianto, Björn W. Schuller, Finnian Rachel Lattimore
2020	J	`jnl`	Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world. CoRR Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
2020	J	`jnl`	Contrastive Examples for Addressing the Tyranny of the Majority. CoRR Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto
2020	A*	`conf`	Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. AAAI Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
2020	—	`conf`	Null-Sampling for Interpretable and Fair Representations. ECCV (26) Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto
2020	J	`jnl`	Null-sampling for Interpretable and Fair Representations. CoRR Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto
2020	J	`jnl`	Tuning Fairness by Balancing Target Labels. Frontiers Artif. Intell. Thomas Kehrenberg, Zexun Chen, Novi Quadrianto
2019	A*	`conf`	Discovering Fair Representations in the Data Domain. CVPR Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas
2019	J	`jnl`	Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution. CoRR Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov
2019	B	`conf`	Quantification under class-conditional dataset shift. ASONAM David Spence, Christopher Inskip, Novi Quadrianto, David Weir
2018	J	`jnl`	Interpretable Fairness via Target Labels in Gaussian Process Models. CoRR Thomas Kehrenberg, Zexun Chen, Novi Quadrianto
2018	J	`jnl`	Neural Styling for Interpretable Fair Representations. CoRR Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas
2017	A*	`conf`	Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. ICML Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen
2017	—	`ch.`	Gaussian Process. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Kristian Kersting, Zhao Xu
2017	A	`conf`	Gray-box Inference for Structured Gaussian Process Models. AISTATS Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto
2017	—	`ch.`	Learning Using Privileged Information. Encyclopedia of Machine Learning and Data Mining Viktoriia Sharmanska, Novi Quadrianto
2017	—	`ch.`	Linear Discriminant. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2017	—	`ch.`	Linear Regression. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2017	—	`conf`	Recycling Privileged Learning and Distribution Matching for Fairness. NIPS Novi Quadrianto, Viktoriia Sharmanska
2017	—	`ch.`	Regression. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2016	A*	`conf`	Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations. CVPR Viktoriia Sharmanska, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Novi Quadrianto
2016	A*	`conf`	Clustering High Dimensional Categorical Data via Topographical Features. ICML Chao Chen, Novi Quadrianto
2016	A*	`conf`	Learning Using Unselected Features (LUFe). IJCAI Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto
2016	A*	`conf`	Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning. CVPR Viktoriia Sharmanska, Novi Quadrianto
2015	J	`jnl`	A Very Simple Safe-Bayesian Random Forest. IEEE Trans. Pattern Anal. Mach. Intell. Novi Quadrianto, Zoubin Ghahramani
2015	J	`jnl`	GPstruct: Bayesian Structured Prediction Using Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani
2014	J	`jnl`	Learning to Transfer Privileged Information. CoRR Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2014	—	`conf`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. NIPS Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	J	`jnl`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. CoRR Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	A*	`conf`	Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. ICML Sébastien Bratières, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani
2013	J	`jnl`	Bayesian Structured Prediction Using Gaussian Processes. CoRR Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani
2013	A*	`conf`	Learning to Rank Using Privileged Information. ICCV Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2013	A	`conf`	The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. UAI Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani
2013	J	`jnl`	The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. CoRR Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani
2012	—	`conf`	Augmented Attribute Representations. ECCV (5) Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert
2012	—	`conf`	Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. ACCV (1) Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert
2012	J	`jnl`	The Most Persistent Soft-Clique in a Set of Sampled Graphs CoRR Novi Quadrianto, Chao Chen, Christoph H. Lampert
2012	A*	`conf`	The Most Persistent Soft-Clique in a Set of Sampled Graphs. ICML Novi Quadrianto, Chao Chen, Christoph H. Lampert
2011	A*	`conf`	Learning Multi-View Neighborhood Preserving Projections. ICML Novi Quadrianto, Christoph H. Lampert
2010	—	`conf`	Beyond 2D-grids: a dependence maximization view on image browsing. Multimedia Information Retrieval Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine
2010	—	`conf`	Distributed Flow Algorithms for Scalable Similarity Visualization. ICDM Workshops Novi Quadrianto, Dale Schuurmans, Alexander J. Smola
2010	—	`ch.`	Gaussian Process. Encyclopedia of Machine Learning Novi Quadrianto, Kristian Kersting, Zhao Xu
2010	J	`jnl`	Kernelized Sorting. IEEE Trans. Pattern Anal. Mach. Intell. Novi Quadrianto, Alexander J. Smola, Le Song, Tinne Tuytelaars
2010	—	`ch.`	Linear Discriminant. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2010	—	`ch.`	Linear Regression. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2010	—	`conf`	Multitask Learning without Label Correspondences. NIPS Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson
2010	—	`conf`	Optimal Web-Scale Tiering as a Flow Problem. NIPS Gilbert Leung, Novi Quadrianto, Alexander J. Smola, Kostas Tsioutsiouliklis
2010	—	`ch.`	Regression. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2009	—	`conf`	Convex Relaxation of Mixture Regression with Efficient Algorithms. NIPS Novi Quadrianto, Tibério S. Caetano, John Lim, Dale Schuurmans
2009	—	`conf`	Distribution Matching for Transduction. NIPS Novi Quadrianto, James Petterson, Alexander J. Smola
2009	J	`jnl`	Estimating Labels from Label Proportions. J. Mach. Learn. Res. Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, Quoc V. Le
2009	A*	`conf`	Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
2009	A*	`conf`	Learning based automatic face annotation for arbitrary poses and expressions from frontal images only. CVPR Akshay Asthana, Roland Goecke, Novi Quadrianto, Tom Gedeon
2008	A*	`conf`	Estimating labels from label proportions. ICML Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, Quoc V. Le
2008	—	`conf`	Kernelized Sorting. NIPS Novi Quadrianto, Le Song, Alexander J. Smola