On the public citation graph

Learning gradients on manifolds

0 signed · 59 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-2201-7openalex-snapshot

Riemannian Geometry

inferredcites →https://doi.org/10.1007/s10444-007-9049-0openalex-snapshot

Learning and approximation by Gaussians on Riemannian manifolds

inferredcites →https://doi.org/10.1016/s1535-6108(02)00030-2openalex-snapshot

Gene expression correlates of clinical prostate cancer behavior

inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot

Gene Selection for Cancer Classification using Support Vector Machines

inferredcites →https://doi.org/10.1073/pnas.1031596100openalex-snapshot

Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

inferredcites →https://doi.org/10.1080/01621459.1991.10475035openalex-snapshot

Sliced Inverse Regression for Dimension Reduction

inferredcites →https://doi.org/10.1090/s0002-9947-1950-0051437-7openalex-snapshot

Theory of reproducing kernels

inferredcites →https://doi.org/10.1093/oso/9780198526155.003.0053openalex-snapshot

Bayesian Factor Regression Models in the “Large p, Small n” Paradigm

inferredcites →https://doi.org/10.1111/1467-9868.03411openalex-snapshot

An Adaptive Estimation of Dimension Reduction Space

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1126/science.286.5439.531openalex-snapshot

Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring

inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot

A Global Geometric Framework for Nonlinear Dimensionality Reduction

inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot

Nonlinear Dimensionality Reduction by Locally Linear Embedding

inferredcites →https://doi.org/10.1137/s1064827596304010openalex-snapshot

Atomic Decomposition by Basis Pursuit

inferredcites →https://doi.org/10.1142/9789812836281_0023openalex-snapshot

An adaptive estimation of dimension reduction space

inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

inferredcites →https://doi.org/10.1214/074921707000000148openalex-snapshot

Local polynomial regression on unknown manifolds

inferredcites →https://doi.org/10.1214/088342307000000032openalex-snapshot

The Use of Unlabeled Data in Predictive Modeling

inferredcites →https://doi.org/10.1214/aos/1021379861openalex-snapshot

Dimension reduction for conditional mean in regression

inferredcites →https://doi.org/10.21236/ada296533openalex-snapshot

Theory of Reproducing Kernels.

inferredcites →https://doi.org/10.2307/1990404openalex-snapshot

Theory of Reproducing Kernels

inferredcites →https://doi.org/10.2307/2290564openalex-snapshot

Sliced Inverse Regression for Dimension Reduction: Comment

inferredcites →https://doi.org/10.5555/1248547.1248565openalex-snapshot

Learning Coordinate Covariances via Gradients

inferredcites →https://doi.org/10.5555/1248547.1248635openalex-snapshot

Estimation of Gradients and Coordinate Covariation in Classification

inferredcites →https://doi.org/10.56021/9781421407944openalex-snapshot

Matrix Computations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3204132openalex-extracted

Model Risk and Differential Geometry Applied to Sensitivity Analysis

inferred← citeshttps://doi.org/10.1002/nla.722openalex-snapshot

Normal estimation on manifolds by gradient learning

inferred← citeshttps://doi.org/10.1007/978-1-4614-5544-8_4openalex-snapshot

Function Estimation

inferred← citeshttps://doi.org/10.1007/978-81-951961-1-1_11openalex-snapshot

inferred← citeshttps://doi.org/10.1007/978-981-99-1652-8_6openalex-snapshot

Optimization Algorithms: An Overview

inferred← citeshttps://doi.org/10.1007/978-981-99-8277-6_11openalex-snapshot

Stochastic Gradient Schemes

inferred← citeshttps://doi.org/10.1007/s00440-014-0556-xopenalex-snapshot

The topology of probability distributions on manifolds

inferred← citeshttps://doi.org/10.1007/s10444-011-9211-6openalex-snapshot

Learning the coordinate gradients

inferred← citeshttps://doi.org/10.1007/s10994-010-5217-4openalex-snapshot

Estimating variable structure and dependence in multitask learning via gradients

inferred← citeshttps://doi.org/10.1007/s10994-012-5284-9openalex-snapshot

Learning sparse gradients for variable selection and dimension reduction

inferred← citeshttps://doi.org/10.1007/s11263-012-0528-5openalex-snapshot

Keypoints and Local Descriptors of Scalar Functions on 2D Manifolds

inferred← citeshttps://doi.org/10.1007/s11401-018-0091-7openalex-snapshot

Error Analysis on Hérmite Learning with Gradient Data

inferred← citeshttps://doi.org/10.1016/j.jat.2010.05.004openalex-snapshot

Learning gradients via an early stopping gradient descent method

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129883openalex-snapshot

The consistency analysis of gradient learning under independent covariate shift

inferred← citeshttps://doi.org/10.1080/01621459.2013.827984openalex-snapshot

Local Linear Regression on Manifolds and Its Geometric Interpretation

inferred← citeshttps://doi.org/10.1080/10618600.2021.2000420openalex-snapshot

Learning Subspaces of Different Dimensions

inferred← citeshttps://doi.org/10.1093/biomet/asaa041openalex-snapshot

Functional regression on the manifold with contamination

inferred← citeshttps://doi.org/10.1093/imaiai/iaaa013openalex-snapshot

Nonlinear generalization of the monotone single index model

inferred← citeshttps://doi.org/10.1109/access.2023.3307772openalex-snapshot

A Diffusion-Map-Based Algorithm for Gradient Computation on Manifolds and Applications

inferred← citeshttps://doi.org/10.1109/tnnls.2015.2425215openalex-snapshot

Robust Gradient Learning With Applications

inferred← citeshttps://doi.org/10.1109/tsp.2013.2292036openalex-snapshot

MIMO Systems With Quantized Covariance Feedback

inferred← citeshttps://doi.org/10.1142/s0219530519410033openalex-snapshot

Performance analysis of the LapRSSLG algorithm in learning theory

inferred← citeshttps://doi.org/10.1155/2013/148490openalex-snapshot

ERM Scheme for Quantile Regression

inferred← citeshttps://doi.org/10.1155/2014/438291openalex-snapshot

Gradient Learning Algorithms for Ontology Computing

inferred← citeshttps://doi.org/10.1162/neco_a_00739openalex-snapshot

Refined Generalization Bounds of Gradient Learning over Reproducing Kernel Hilbert Spaces

inferred← citeshttps://doi.org/10.1198/jcgs.2010.08080openalex-snapshot

Localized Sliced Inverse Regression

inferred← citeshttps://doi.org/10.1214/23-ejs2153openalex-snapshot

Structure learning via unstructured kernel-based M-estimation

inferred← citeshttps://doi.org/10.2140/paa.2025.7.807openalex-snapshot

Convergence of Hessian estimator from random samples on a manifold with boundary

inferred← citeshttps://doi.org/10.2514/6.2019-4329openalex-snapshot

Enabling aero-engine thermal model calibration using active subspaces

inferred← citeshttps://doi.org/10.3390/e24070956openalex-snapshot

Gradient Learning under Tilted Empirical Risk Minimization

inferred← citeshttps://doi.org/10.48550/arxiv.1805.08883openalex-snapshot

Sensitivity of Regular Estimators

inferred← citeshttps://doi.org/10.48550/arxiv.1808.09631openalex-snapshot

On linear hypersingular Boltzmann transport equation and its variational formulation

inferred← citeshttps://doi.org/10.48550/arxiv.1811.04423openalex-snapshot

When Locally Linear Embedding Hits Boundary

inferred← citeshttps://doi.org/10.48550/arxiv.2007.07309openalex-snapshot

Random Lie Brackets that Induce Torsion: A Model for Noisy Vector Fields

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.