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41

Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits ...

by Huch, Easton K., Shi, Jieru, Abbott, Madeline R., Golbus, Jessica R., Moreno, Alexander, Dempsey, Walter H.
Published 2023

Subjects: “...Machine Learning stat.ML...”
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Article in Journal/Newspaper

42

Recovering Latent Confounders from High-dimensional Proxy Variables ...

by Mankovich, Nathan, Durand, Homer, Diaz, Emiliano, Varando, Gherardo, Camps-Valls, Gustau
Published 2024

Subjects: “...Machine Learning stat.ML...”
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Article in Journal/Newspaper

43

Towards Identification of Relevant Variables in the observed Aerosol Optical Depth Bias between MODIS and AERONET observations

by Malakar, N. K., Lary, D. J., Gencaga, D., Albayrak, A., Wei, J.
Published in AIP Conference Proceedings, (2013)

Subjects: “...Statistics - Machine Learning...”
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Text

44

Estimation of forest height and biomass from open-access multi-sensor satellite imagery and GEDI Lidar data: high-resolution maps of metropolitan France

by Morin, David, Planells, Milena, Mermoz, Stéphane, Mouret, Florian
Published 2023

Subjects: “...Statistics - Machine Learning...”
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45

Comparative Performance Study of Linear and Gaussian Kernel SVM Implementations for Phase Scintillation Detection

by Savas, Caner, Dovis, Fabio
Published in 2019 International Conference on Localization and GNSS (ICL-GNSS) (2019)

Subjects: “...Machine Learning...”
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Conference Object

46

Predicting ice flow using machine learning

by Min, Yimeng, Mukkavilli, S. Karthik, Bengio, Yoshua
Published 2019

Subjects: “...Computer Science - Machine Learning...”
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47

A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses

by Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo, Ayed, Ismail Ben
Published 2020

Subjects: “...Computer Science - Machine Learning...”
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48

Fine-Grained Visual Categorization via Multi-stage Metric Learning

by Qian, Qi, Jin, Rong, Zhu, Shenghuo, Lin, Yuanqing
Published 2014

Subjects: “...Computer Science - Machine Learning...”
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49

A Simple and Effective Framework for Pairwise Deep Metric Learning

by Qi, Qi, Yan, Yan, Wang, Xiaoyu, Yang, Tianbao
Published 2019

Subjects: “...Computer Science - Machine Learning...”
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50

Large-scale Distance Metric Learning with Uncertainty

by Qian, Qi, Tang, Jiasheng, Li, Hao, Zhu, Shenghuo, Jin, Rong
Published 2018

Subjects: “...Computer Science - Machine Learning...”
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51

Self-Paced Learning with Adaptive Deep Visual Embeddings

by Thangarasa, Vithursan, Taylor, Graham W.
Published 2018

Subjects: “...Computer Science - Machine Learning...”
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52

Unbiased Evaluation of Deep Metric Learning Algorithms

by Fehervari, Istvan, Ravichandran, Avinash, Appalaraju, Srikar
Published 2019

Subjects: “...Computer Science - Machine Learning...”
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53

Robust Orthogonal Machine Learning of Treatment Effects

by Huang, Yiyan, Leung, Cheuk Hang, Wu, Qi, Yan, Xing
Published 2021

Subjects: “...Statistics - Machine Learning...”
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54

Exponential Discriminative Metric Embedding in Deep Learning

by Wu, Bowen, Chen, Zhangling, Wang, Jun, Wu, Huaming
Published 2018

Subjects: “...Computer Science - Machine Learning...”
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55

Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain

by Luo, Yong, Wen, Yonggang, Liu, Tongliang, Tao, Dacheng
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

Subjects: “...Statistics - Machine Learning...”
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56

Machine Learning Techniques to Detect and Characterise Whistler Radio Waves

by Konan, Othniel J. E. Y., Mishra, Amit Kumar, Lotz, Stefan
Published 2020

Subjects: “...Computer Science - Machine Learning...”
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57

Towards detection and classification of microscopic foraminifera using transfer learning

by Johansen, Thomas Haugland, Sørensen, Steffen Aagaard
Published 2020

Subjects: “...Computer Science - Machine Learning...”
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58

Generalized Sum Pooling for Metric Learning

by Gurbuz, Yeti Z., Sener, Ozan, Alatan, A. Aydın
Published 2023

Subjects: “...Computer Science - Machine Learning...”
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59

Deep Metric Learning with Chance Constraints

by Gurbuz, Yeti Z., Can, Ogul, Alatan, A. Aydin
Published 2022

Subjects: “...Computer Science - Machine Learning...”
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60

A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning

by Horner, Tristan J., Mete, Oyku Z.
Published 2023

Subjects: “...machine learning...”
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