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Averaging Stochastic Gradient Descent on Riemannian Manifolds

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Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds

Hemant Tyagi

In this work we do a theoretical analysis of the local sampling conditions for points lying on a quadratic embedding of a Riemannian manifold in a Euclidean space. The embedding is assumed to be quadratic at a reference point

P

. Our analysis is based on ...

2011

Averaging Stochastic Gradient Descent on Riemannian Manifolds

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Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds

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Maximum likelihood estimation for multiple-source losss tomography with network coding

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Can Equity Volatility Explain the Global Loan Pricing Puzzle?

MMSE Denoising of Sparse Lévy Processes via Message Passing

MAP Estimators for Self-Similar Sparse Stochastic Models

Mmse Denoising Of Sparse Levy Processes Via Message Passing

Local Sampling Analysis for Quadratic Embeddings of Riemannian Manifolds