Paper Citation Record · LEDGER

Hadamard-Riemannian Optimization for Margin-Variance Ensemble

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.10189.

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pith.paper-citation-record.v1
2509.10189 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T18:15:50.881923Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 879fd40a-3ea3-404c-accc-5b7907dd6966 · outbound

This paper cites A survey on ensemble learning,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A survey on ensemble learning,

Reference 1

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Observation 32d2c42e-247c-4c51-8bb7-beb8c0fc9a3c · outbound

This paper cites Polikar,Ensemble Learning.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Polikar,Ensemble Learning

Reference 2

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Observation ebcf6b6f-e217-4a4c-98d1-88acd15e0a7d · outbound

This paper cites On diversity and accuracy of homogeneous and heterogeneous ensembles,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble On diversity and accuracy of homogeneous and heterogeneous ensembles,

Reference 3

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Observation 5fbd4417-01ad-485e-a686-06384768597d · outbound

This paper cites Random Forests,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Random Forests,

Reference 4

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Observation 2312b1ce-6540-43f4-918c-4c5de43dceff · outbound

This paper cites Cutler, D.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Cutler, D

Reference 5

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This paper cites A comparison of random forest variable selection methods for classification prediction modeling,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A comparison of random forest variable selection methods for classification prediction modeling,

Reference 6

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Observation f2ec2a3b-d95a-4f32-8937-56544e28e4cb · outbound

This paper cites A comparative analysis of gradient boosting algorithms,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A comparative analysis of gradient boosting algorithms,

Reference 7

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Observation b7943eab-66df-4aef-a3fc-cbeceaee0605 · outbound

This paper cites Acceler- ating gradient boosting machines,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Acceler- ating gradient boosting machines,

Reference 8

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Observation 88ec69be-1dd7-4a9a-a77c-34077f16d680 · outbound

This paper cites A margin-maximizing fine- grained ensemble method,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A margin-maximizing fine- grained ensemble method,

Reference 9

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Observation 8c25d555-9706-4db1-8dcf-95fcd22a3260 · outbound

This paper cites Variance-reduced methods for machine learning,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Variance-reduced methods for machine learning,

Reference 10

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Observation 0121d06d-c5dd-4357-b2b5-ffb123c6f3dd · outbound

This paper cites Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:15:47.882859Z

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Observation 6915c06f-ae40-4137-a587-de1d8f8aaf82 · outbound

This paper cites Large dimensional analysis of general margin based classification methods,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Large dimensional analysis of general margin based classification methods,

Reference 12

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Observation cb2f76dc-f0fd-4b23-af7f-b2e5ef7383d2 · outbound

This paper cites Margin Allocation and Tradeoff in Complex Systems Design and Optimization,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Margin Allocation and Tradeoff in Complex Systems Design and Optimization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:15:48.210313Z

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Observation 7dd7dbb0-bb98-4739-b31b-ba3522991c05 · outbound

This paper cites Max-margin action prediction machine,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Max-margin action prediction machine,

Reference 14

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Observation bc6be242-d405-4c58-9ef2-9e49c78d7599 · outbound

This paper cites Margin maximization for robust classifi- cation using deep learning,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Margin maximization for robust classifi- cation using deep learning,

Reference 15

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Observation 3c20ccee-3e59-4a36-8430-488ab4101480 · outbound

This paper cites Maximizing margin quality and quantity,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Maximizing margin quality and quantity,

Reference 16

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Observation 1c288291-20e4-4a54-99ac-b6349a2d4e1f · outbound

This paper cites An Overview of Overfitting and its Solutions,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble An Overview of Overfitting and its Solutions,

Reference 17

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Observation e8c93d8f-7e1c-45d1-8117-a83f55c51f9b · outbound

This paper cites Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application,

Reference 18

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Observation f34e6d62-a55b-4a47-9053-943c496e29b9 · outbound

This paper cites l 0 gradient projection,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble l 0 gradient projection,

Reference 19

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Observation 7e0953f0-00bc-4412-8952-35133b39c9e4 · outbound

This paper cites A survey on large- scale machine learning,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A survey on large- scale machine learning,

Reference 20

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Observation e7ed39bc-9bfe-42e3-b43b-44a78a74e02f · outbound

This paper cites Identifying mislabeled data using the area under the margin ranking,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Identifying mislabeled data using the area under the margin ranking,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:15:48.892267Z

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Observation 58216496-d814-40de-8129-dfaf74f62605 · outbound

This paper cites Log-sum-exp optimization based on continu- ous piecewise linearization techniques,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Log-sum-exp optimization based on continu- ous piecewise linearization techniques,

Reference 22

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Observation 6688bddd-6953-4775-9727-e8d1ef71a682 · outbound

This paper cites Cooperation of Experts: Fusing Heterogeneous Information with Large Margin.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

Reference 23

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Observation b18d8a39-e327-4e4f-92fa-563270a6e368 · outbound

This paper cites A mean-variance optimization algorithm,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A mean-variance optimization algorithm,

Reference 24

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Observation cf4976b4-10a9-4464-a9b2-f6969be1b3dc · outbound

This paper cites On three concepts in robust design optimization: absolute robustness, relative robustness, and less variance,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble On three concepts in robust design optimization: absolute robustness, relative robustness, and less variance,

Reference 25

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Observation 29638bfe-d823-4e43-b9c2-6cbe78556889 · outbound

This paper cites From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization,

Reference 26

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Observation db6bffde-1f12-4326-a5e3-b147f5a82c0a · outbound

This paper cites The KKT optimality conditions for optimization problem with interval-valued objective function on Hadamard manifolds,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble The KKT optimality conditions for optimization problem with interval-valued objective function on Hadamard manifolds,

Reference 27

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This paper cites Intrinsic Formulation of KKT Conditions and Constraint Qualifications on Smooth Manifolds,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Intrinsic Formulation of KKT Conditions and Constraint Qualifications on Smooth Manifolds,

Reference 28

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Observation 1d6808b9-2de9-4205-abd5-2d8a2099b1d8 · outbound

This paper cites Optimization Techniques on Riemannian Manifolds,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Optimization Techniques on Riemannian Manifolds,

Reference 29

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Observation 25f5af07-61c4-4c1b-b1b3-647e41cc1eb6 · outbound

This paper cites Riemannian Optimization on Relaxed Indicator Matrix Manifold.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Riemannian Optimization on Relaxed Indicator Matrix Manifold

Reference 30

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Observation 77f1de75-13cc-4147-9c89-1a6666d3fd86 · outbound

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Hadamard-Riemannian Optimization for Margin-Variance Ensemble Projection-like Retractions on Matrix Mani- folds,

Reference 31

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Observation baf9761c-29cc-4218-84c8-def0a44139e5 · outbound

This paper cites Global optimization of Lipschitz func- tions,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Global optimization of Lipschitz func- tions,

Reference 32

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Observation 37098563-a9d1-435a-bb33-a755fdc2f757 · outbound

This paper cites Constrained, Global Optimization of Unknown Functions with Lipschitz Continuous Gradients,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Constrained, Global Optimization of Unknown Functions with Lipschitz Continuous Gradients,

Reference 33

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Hadamard-Riemannian Optimization for Margin-Variance Ensemble Large margin classifiers based on convex class models,

Reference 34

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This paper cites Path-based clustering for grouping of smooth curves and texture segmentation,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Path-based clustering for grouping of smooth curves and texture segmentation,

Reference 35

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This paper cites A Generalized Deep Learning Clustering Algorithm Based on Non- Negative Matrix Factorization,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A Generalized Deep Learning Clustering Algorithm Based on Non- Negative Matrix Factorization,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T18:15:50.365875Z

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Observation f0ec13e4-62e6-4991-96fc-9b76aa8a7a17 · outbound

This paper cites Addressing challenging problems using optimized deep learning classification algorithms on the mnist dataset,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Addressing challenging problems using optimized deep learning classification algorithms on the mnist dataset,

Reference 37

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This paper cites Face recognition under varying expressions and illumination using particle swarm opti- mization,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Face recognition under varying expressions and illumination using particle swarm opti- mization,

Reference 38

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Hadamard-Riemannian Optimization for Margin-Variance Ensemble Unresolved cited work

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This paper cites Washington, DC, USA: AAAI Press, 2024.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Washington, DC, USA: AAAI Press, 2024

Reference 40

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Observation b7f7acb6-c63b-4910-8c21-48a87259ee30 · outbound

This paper cites A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model,

Reference 41

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Observation 6a31cd64-2ea3-4224-9eea-82789ca98dfa · outbound

This paper cites Over- fitting, Model Tuning, and Evaluation of Prediction Performance,.

Hadamard-Riemannian Optimization for Margin-Variance Ensemble Over- fitting, Model Tuning, and Evaluation of Prediction Performance,

Reference 42

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