Extensions of Gaussian processes for ranking: semi-supervised and active learning

Keywords

Preference learning, Active learning (machine learning), Semi-supervised learning, Machine learning, Artificial intelligence

References

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• Thesis Supervisor Accepted by.......................................................................2001
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Cited by

• Sparse Gaussian Processes for Learning PreferencesEhsan Abbasnejad, Edwin V. Bonilla, Scott Sanner — 2011
• Learning Preferences with Kernel-Based MethodsEvgeni Tsivtsivadze — 2009
• Adapting ranking SVM to document retrievalYunbo Cao, Jun Xu, Tie‐Yan Liu — 2006
• Efficiently learning the preferences of peopleAdriana Birlutiu, Perry Groot, Tom Heskes — 2012
• Active Ranking in Practice: General Ranking Functions with Sample Complexity BoundsKevin Jamieson, Robert D. Nowak — 2011
• Interactive Bayesian optimization : learning user preferences for graphics and animationEric Brochu — 2010
• The Analysis of Adaptive Data Collection Methods for Machine LearningKevin Jamieson — 2015
• Analysis on Digital Image Re-Ranking Algorithm based on Multi-feature FusionZhao Huanping, Yan Liu, Shi Huojie — 2017
• Efficient Learning from ComparisonsLucas Maystre — 2018
• Bayesian recommender systems : models and algorithmsShengbo Guo — 2011
• Apprentissage de Fonctions d'Ordonnancement Semi-Supervisé InductivesTuong Vinh Truong, Massih-Reza Amini, Patrick Gallinari — 2008
• Interactive multi-objective reinforcement learning in multi-armed bandits for any utility functionDiederik M. Roijers, Luisa Zintgraf, Pieter Libin — 2020
• Speech gesture generation from the trimodal context of text, audio, and speaker identityYoungwoo Yoon, Bok Cha, Joo-Haeng Lee — 2020
• An Approach to Bayesian Optimization for Design Feasibility Check on Discontinuous Black-Box FunctionsArpan Biswas, Christopher Hoyle — 2021
• Active Ranking using Pairwise ComparisonsKevin Jamieson, Robert D. Nowak — 2011
• Active Sampling for Rank Learning via Optimizing the Area under the ROC CurvePinar E. Donmez, J. Carbonell — 2009
• Learning community-based preferences via dirichlet process mixtures of Gaussian processesEhsan Abbasnejad, Scott Sanner, Edwin V. Bonilla — 2013
• Large Scale Co-Regularized RankingEvgeni Tsivtsivadze, Katja Hofmann, Tom Heskes — 2012
• A dynamic Bayesian optimized active recommender system for curiosity-driven partially “Human-in-the-loop” automated experimentsArpan Biswas, Yongtao Liu, Nicole Creange — 2023
• Combining Serendipity and Active Learning for Personalized Contextual Exploration of Knowledge GraphsFederico Bianchi, M. Palmonari, M. Cremaschi — 2017

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