Search Results for author: Steven Rosenberg

Found 6 papers, 1 papers with code

A Geometric Understanding of Natural Gradient

no code implementations13 Feb 2022 Qinxun Bai, Steven Rosenberg, Wei Xu

While natural gradients have been widely studied from both theoretical and empirical perspectives, we argue that some fundamental theoretical issues regarding the existence of gradients in infinite dimensional function spaces remain underexplored.

The Geometry of Loop Spaces III: Diffeomorphisms of Contact Manifolds

no code implementations3 Nov 2020 Satoshi Egi, Yoshiaki Maeda, Steven Rosenberg

We study the diffeomorphism and isometry groups of manifolds $\overline {M_p}$, $p\in\mathbb Z$, which are circle bundles over a closed $4n$-dimensional integral symplectic manifold.

Differential Geometry

Occupant Plugload Management for Demand Response in Commercial Buildings: Field Experimentation and Statistical Characterization

no code implementations14 Apr 2020 Chaitanya Poolla, Abraham K. Ishihara, Dan Liddell, Rodney Martin, Steven Rosenberg

By augmenting the visual feedback in the university environment with a monetary incentive, the mean energy reduction was found to be ~24. 22%

Management

Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

2 code implementations9 Apr 2020 Nathaniel Josephs, Lizhen Lin, Steven Rosenberg, Eric D. Kolaczyk

While the study of a single network is well-established, technological advances now allow for the collection of multiple networks with relative ease.

Applications

Discretized Gradient Flow for Manifold Learning in the Space of Embeddings

no code implementations25 Jan 2019 Dara Gold, Steven Rosenberg

Manifold learning/dimensionality reduction, which seeks a low dimensional manifold that best represents data in a high dimensional Euclidean space, is an inherently infinite dimensional problem.

Dimensionality Reduction Differential Geometry

Class Probability Estimation via Differential Geometric Regularization

no code implementations4 Mar 2015 Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff

We study the problem of supervised learning for both binary and multiclass classification from a unified geometric perspective.

Classification General Classification

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