Stochastic optimization over expectation-formulated generalized Stiefel manifold | Paper Citation Record

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This paper cites Steepest descent algorithms for optimization under unitary matrix constraint.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Steepest descent algorithms for optimization under unitary matrix constraint

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This paper cites Trust-region methods on riemannian manifolds.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Trust-region methods on riemannian manifolds

Reference 2

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This paper cites Absil, R.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Absil, R

Reference 3

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This paper cites Newton’s method on riemannian manifolds and a geometric model for the human spine.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Newton’s method on riemannian manifolds and a geometric model for the human spine

Reference 4

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This paper cites Stochastic approx- imation for canonical correlation analysis.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Stochastic approx- imation for canonical correlation analysis

Reference 5

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This paper cites Riemannian manifold trust-region methods with applications to eigenprob- lems.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Riemannian manifold trust-region methods with applications to eigenprob- lems

Reference 6

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This paper cites Learning sparse feature representa- tions using probabilistic quadtrees and deep belief nets.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Learning sparse feature representa- tions using probabilistic quadtrees and deep belief nets

Reference 7

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This paper cites Stochastic approximations and differential inclusions.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Stochastic approximations and differential inclusions

Reference 8

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This paper cites Non-convex phase retrieval from stft measurements.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Non-convex phase retrieval from stft measurements

Reference 9

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This paper cites Subgradient sampling for nonsmooth nonconvex minimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Subgradient sampling for nonsmooth nonconvex minimization

Reference 10

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This paper cites Stochastic first-order methods for convex and nonconvex functional constrained optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Stochastic first-order methods for convex and nonconvex functional constrained optimization

Reference 11

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This paper cites An introduction to optimization on smooth manifolds.

Stochastic optimization over expectation-formulated generalized Stiefel manifold An introduction to optimization on smooth manifolds

Reference 12

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This paper cites Manopt, a matlab toolbox for optimization on manifolds.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Manopt, a matlab toolbox for optimization on manifolds

Reference 13

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This paper cites Sparse CCA via Precision Adjusted Iterative Thresholding.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Sparse CCA via Precision Adjusted Iterative Thresholding

Reference 14

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This paper cites Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization

Reference 15

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This paper cites On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Reference 16

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This paper cites An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory.

Stochastic optimization over expectation-formulated generalized Stiefel manifold An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory

Reference 17

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This paper cites Sparse GCA and Thresholded Gradient Descent.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Sparse GCA and Thresholded Gradient Descent

Reference 18

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This paper cites Efficient algorithms for large- scale generalized eigenvector computation and canonical correlation analysis.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Efficient algorithms for large- scale generalized eigenvector computation and canonical correlation analysis

Reference 19

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This paper cites A single timescale stochastic approxi- mation method for nested stochastic optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold A single timescale stochastic approxi- mation method for nested stochastic optimization

Reference 20

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This paper cites Hardoon, Sandor Szedmak, and John Shawe-Taylor.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Hardoon, Sandor Szedmak, and John Shawe-Taylor

Reference 21

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This paper cites Relations between two sets of variables.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Relations between two sets of variables

Reference 22

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This paper cites Generalized canonical correlations and their application to experimental data.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Generalized canonical correlations and their application to experimental data

Reference 23

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This paper cites A brief introduction to manifold opti- mization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold A brief introduction to manifold opti- mization

Reference 24

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This paper cites A broyden class of quasi-newton methods for riemannian optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold A broyden class of quasi-newton methods for riemannian optimization

Reference 25

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This paper cites Robust estimation of a location parameter.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Robust estimation of a location parameter

Reference 26

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This paper cites The riemannian barzilai–borwein method with non- monotone line search and the matrix geometric mean computation.

Stochastic optimization over expectation-formulated generalized Stiefel manifold The riemannian barzilai–borwein method with non- monotone line search and the matrix geometric mean computation

Reference 27

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This paper cites Riemannian stochastic recursive gradient algorithm.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Riemannian stochastic recursive gradient algorithm

Reference 28

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Stochastic optimization over expectation-formulated generalized Stiefel manifold Unresolved cited work

Reference 29

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This paper cites Adam: A Method for Stochastic Optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Adam: A Method for Stochastic Optimization

Reference 30

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This paper cites Nonsmooth nonconvex stochastic heavy ball.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Nonsmooth nonconvex stochastic heavy ball

Reference 31

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This paper cites The mnist database of handwritten digits.

Stochastic optimization over expectation-formulated generalized Stiefel manifold The mnist database of handwritten digits

Reference 32

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This paper cites Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization

Reference 33

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This paper cites Linear discriminant analysis: New formulations and overfit analysis.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Linear discriminant analysis: New formulations and overfit analysis

Reference 34

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Observation b138697c-7c3d-476f-b6f9-d9b8d71d9cb9 · outbound

This paper cites Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints

Reference 35

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This paper cites Finding linear structure in large datasets with scalable canonical correlation analysis.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Finding linear structure in large datasets with scalable canonical correlation analysis

Reference 36

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This paper cites An online riemannian pca for stochastic canonical correlation analysis.

Stochastic optimization over expectation-formulated generalized Stiefel manifold An online riemannian pca for stochastic canonical correlation analysis

Reference 37

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This paper cites Numerical optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Numerical optimization

Reference 38

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This paper cites Riemannian conjugate gradient methods: General framework and specific algo- rithms with convergence analyses.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Riemannian conjugate gradient methods: General framework and specific algo- rithms with convergence analyses

Reference 39

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Observation 4941a08e-a4b3-4cb2-a010-689f1ce133f8 · outbound

This paper cites Cholesky QR-based retraction on the generalized Stiefel manifold.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Cholesky QR-based retraction on the generalized Stiefel manifold

Reference 40

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Observation 857b9d8d-9100-4ff4-80b6-6ab9a3b0d536 · outbound

This paper cites A new, globally convergent riemannian conjugate gradient method.

Stochastic optimization over expectation-formulated generalized Stiefel manifold A new, globally convergent riemannian conjugate gradient method

Reference 41

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This paper cites Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold

Reference 42

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Observation 027b71c7-f755-4570-8ae2-3b330a658d26 · outbound

This paper cites The challenge problem for automated detection of 101 semantic concepts in multi- media.

Stochastic optimization over expectation-formulated generalized Stiefel manifold The challenge problem for automated detection of 101 semantic concepts in multi- media

Reference 43

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Observation 51c06b11-f319-4f4b-a7d5-e9a8fc82408f · outbound

This paper cites Minimum generalized variance for a set of linear functions.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Minimum generalized variance for a set of linear functions

Reference 44

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Observation 2847e2ce-42ac-4d4e-8e02-1de0415c7676 · outbound

This paper cites Generalized Canonical Correlation Analysis: A Subspace Intersection Approach.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Generalized Canonical Correlation Analysis: A Subspace Intersection Approach

Reference 45

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Observation fbaa098c-77a3-4359-9e2d-cf858cf9778e · outbound

This paper cites Optimization without retraction on the random generalized stiefel manifold.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Optimization without retraction on the random generalized stiefel manifold

Reference 46

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Observation daf513eb-93ce-4350-a22d-7e829873e25e · outbound

This paper cites Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

Reference 47

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Observation 425f49d0-32e0-4bf0-b519-9f700f69ff91 · outbound

This paper cites Accelerating stochastic composition optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Accelerating stochastic composition optimization

Reference 48

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Observation 69515468-3184-4c5e-a4dd-55bc3a9581d1 · outbound

This paper cites Dissolving Constraints for Riemannian Optimization.

Stochastic optimization over expectation-formulated generalized Stiefel manifold Dissolving Constraints for Riemannian Optimization

Reference 49

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Observation e1f02ee6-d075-4fb4-b9fa-e2bcf7f26dd2 · outbound

This paper cites A stochastic composite gradient method with incremental variance reduction.

Stochastic optimization over expectation-formulated generalized Stiefel manifold A stochastic composite gradient method with incremental variance reduction

Reference 50

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