Papers citing 'Learning Low-Dimensional Metrics'

Title
Metric Learning in an RKHSConference on Uncertainty in Artificial Intelligence (UAI), 2025 Gokcan Tatli Yi Chen Blake Mason R. Nowak Ramya Korlakai Vinayak DML 64 1 0 06 Aug 2025
The Complexity of Learning Sparse Superposed Features with Feedback Akash Kumar 907 0 0 08 Feb 2025
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences Daiwei Chen Yi Chen Aniket Rege Ramya Korlakai Vinayak 225 36 0 12 Jun 2024
Metric Learning from Limited Pairwise Preference Comparisons Zhi Wang Geelon So Ramya Korlakai Vinayak FedML 167 6 0 28 Mar 2024
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learningNeural Information Processing Systems (NeurIPS), 2023 Austin Xu Andrew D. McRae Jingyan Wang Mark A. Davenport A. Pananjady 117 3 0 08 Sep 2023
One for All: Simultaneous Metric and Preference Learning over Multiple UsersNeural Information Processing Systems (NeurIPS), 2022 Gregory H. Canal Blake Mason Ramya Korlakai Vinayak R. Nowak FedML 122 13 0 07 Jul 2022
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task PerspectiveJournal of the American Statistical Association (JASA), 2021 Shulei Wang SSL 169 4 0 14 Jun 2021
Nearest Neighbor Search Under UncertaintyConference on Uncertainty in Artificial Intelligence (UAI), 2021 Blake Mason Ardhendu Shekhar Tripathy Robert D. Nowak 112 2 0 08 Mar 2021
Greedy k-Center from Noisy Distance Samples Neharika Jali Nikhil Karamchandani Sharayu Moharir 171 2 0 03 Nov 2020
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching Xiangru Tang Alan J. Aw 106 0 0 12 Oct 2020
Near-Optimal Comparison Based Clustering Michaël Perrot Pascal Esser Debarghya Ghoshdastidar 140 12 0 08 Oct 2020
Simultaneous Preference and Metric Learning from Paired ComparisonsNeural Information Processing Systems (NeurIPS), 2020 Austin Xu Mark A. Davenport 186 20 0 04 Sep 2020
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step SizeIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Ke Ma Jinshan Zeng Qianqian Xu Xiaochun Cao Wei Liu Xingtai Lv 152 4 0 01 Dec 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional DataNeural Information Processing Systems (NeurIPS), 2019 Han Liu Zhizhong Han Yu-Shen Liu M. Gu 150 8 0 13 Sep 2019
On Tree-based Methods for Similarity LearningInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2019 Nathan Huet Robin Vogel 105 1 0 21 Jun 2019
Exact Cluster Recovery via Classical Multidimensional Scaling A. Little Yuying Xie Qiang Sun 178 18 0 31 Dec 2018
SqueezeFit: Label-aware dimensionality reduction by semidefinite programming Culver McWhirter D. Mixon Soledad Villar 122 8 0 06 Dec 2018
Generalization Properties of hyper-RKHS and its ApplicationsJournal of machine learning research (JMLR), 2018 Fanghui Liu Lei Shi Xiaolin Huang Jie Yang Johan A. K. Suykens 166 7 0 26 Sep 2018
Learning Data-adaptive Nonparametric Kernels Fanghui Liu Xiaolin Huang Chen Gong Jie Yang Li Li 247 18 0 31 Aug 2018
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds Kuan Liu A. Bellet 283 14 0 20 Jul 2018
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve OptimizationInternational Conference on Machine Learning (ICML), 2018 Robin Vogel A. Bellet Nathan Huet 98 11 0 18 Jul 2018
Safe Triplet Screening for Distance Metric Learning Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 239 16 0 12 Feb 2018