Novi Quadrianto

24 papers · 2008–2026 · 10 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌟 Keyword Trendsetter Combo (7) 🏆 Keyword Champion 🌱 Topic Pioneer 📈 Trend Setter 💎 Century Club (23) ❓ The Questioner 🚀 Conference Pioneer 🗃️ Keyword Collector (53)

Conferences

NIPS (8) CVPR (3) ICML (3) AAAI (2) AISTATS (2) ECCV (2) EMNLP (1) ICCV (1) IJCAI (1) JMLR (1)

Top co-authors

Viktoriia Sharmanska (9) Alex J. Smola (5) Tibério S. Caetano (3) Kristian Kersting (2) Sara Romiti (2) James Petterson (2) Oliver Thomas (2) Myles Bartlett (2) Christoph H. Lampert (2) Ainhize Barrainkua (2)

Research topics

Optimization (1)

Keywords

privileged information (5) gaussian process (3) semi-supervised learning (2) computer vision (2) bayesian inference (2) structured prediction (2) distribution matching (2) control variate (2) semidefinite programming (1) black-box optimization (1) metric learning (1) variational inference (1) representation learning (1) domain adaptation (1) domain generalization (1) probabilistic modeling (1) image segmentation (1) convex optimization (1) algorithmic fairness (1) classification (1)

Papers

Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden AAAI 2026 Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024 Are Compressed Language Models Less Subgroup Robust? EMNLP 2023 RealPatch: A Statistical Matching Framework for Model Patching with Real Samples ECCV 2022 Okapi: Generalising Better by Making Statistical Matches Match NIPS 2022 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 Null-sampling for Interpretable and Fair Representations ECCV 2020 Discovering Fair Representations in the Data Domain CVPR 2019 Recycling Privileged Learning and Distribution Matching for Fairness NIPS 2017 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 Gray-box Inference for Structured Gaussian Process Models AISTATS 2017 Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning CVPR 2016 Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations CVPR 2016 Clustering High Dimensional Categorical Data via Topographical Features ICML 2016 Learning Using Unselected Features (LUFe) IJCAI 2016 Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014 Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014 Learning to Rank Using Privileged Information ICCV 2013 Multitask Learning without Label Correspondences NIPS 2010 Optimal Web-Scale Tiering as a Flow Problem NIPS 2010 Convex Relaxation of Mixture Regression with Efficient Algorithms NIPS 2009 Distribution Matching for Transduction NIPS 2009 Estimating Labels from Label Proportions JMLR 2009 Kernelized Sorting NIPS 2008