List of works - Michael W. Mahoney

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks ⬇️

scientific article published in November 2020

A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions

scientific article (publication date: 22 May 2000)

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent ⬇️

scientific article published in November 2020

ANODEV2: A Coupled Neural ODE Framework ⬇️

Boundary thickness and robustness in learning models ⬇️

scientific article published in November 2020

CUR from a Sparse Optimization Viewpoint ⬇️

CUR matrix decompositions for improved data analysis

scientific article

Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters

Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization ⬇️

scientific article published in November 2020

Dental identification system based on unwrapped CT images.

scientific article

Distributed estimation of the inverse Hessian by determinantal averaging ⬇️

Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation

scientific article published on 8 September 2011

Empirical comparison of algorithms for network community detection

scholarly article published 2010

Exact expressions for double descent and implicit regularization via surrogate random design ⬇️

scientific article published in November 2020

Fast Randomized Kernel Ridge Regression with Statistical Guarantees ⬇️

Feature-distributed sparse regression: a screen-and-clean approach ⬇️

scientific article published in January 2016

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization ⬇️

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks ⬇️

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries ⬇️

Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions

scientific article

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method ⬇️

scientific article published in November 2020

Intra- and interpopulation genotype reconstruction from tagging SNPs

scientific article

LSRN: A PARALLEL ITERATIVE SOLVER FOR STRONGLY OVER- OR UNDERDETERMINED SYSTEMS.

scientific article published on January 2014

PCA-correlated SNPs for structure identification in worldwide human populations

scientific article

Precise expressions for random projections: Low-rank approximation and randomized Newton ⬇️

Regularized Laplacian Estimation and Fast Eigenvector Approximation ⬇️

scientific article published in January 2011

Semi-supervised Eigenvectors for Locally-biased Learning ⬇️

journal

Shallow neural networks for fluid flow reconstruction with limited sensors

scientific article published on 10 June 2020

Statistical properties of community structure in large social and information networks

Sub-sampled Newton Methods with Non-uniform Sampling ⬇️

scientific article published in January 2016

Synthesizing panoramic radiographs by unwrapping dental CT data.

scientific article

Think locally, act locally: detection of small, medium-sized, and large communities in large networks ⬇️

scientific article published on 26 January 2015

Tree decompositions and social graphs

Tree-Like Structure in Large Social and Information Networks

Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction ⬇️

scientific article published in January 2017

Unsupervised Feature Selection for the k-means Clustering Problem ⬇️

scientific article published in January 2009

Weighted SGD for ℓ p Regression with Randomized Preconditioning

scientific article published on 01 January 2016

rCUR: an R package for CUR matrix decomposition.

scientific article

List of works by Michael W. Mahoney

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks ⬇️

A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent ⬇️

ANODEV2: A Coupled Neural ODE Framework ⬇️

Boundary thickness and robustness in learning models ⬇️

CUR from a Sparse Optimization Viewpoint ⬇️

CUR matrix decompositions for improved data analysis

Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters

Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization ⬇️

Dental identification system based on unwrapped CT images.

Distributed estimation of the inverse Hessian by determinantal averaging ⬇️

Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation

Empirical comparison of algorithms for network community detection

Exact expressions for double descent and implicit regularization via surrogate random design ⬇️

Fast Randomized Kernel Ridge Regression with Statistical Guarantees ⬇️

Feature-distributed sparse regression: a screen-and-clean approach ⬇️

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization ⬇️

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks ⬇️

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries ⬇️

Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method ⬇️

Intra- and interpopulation genotype reconstruction from tagging SNPs

LSRN: A PARALLEL ITERATIVE SOLVER FOR STRONGLY OVER- OR UNDERDETERMINED SYSTEMS.

PCA-correlated SNPs for structure identification in worldwide human populations

Precise expressions for random projections: Low-rank approximation and randomized Newton ⬇️

Regularized Laplacian Estimation and Fast Eigenvector Approximation ⬇️

Semi-supervised Eigenvectors for Locally-biased Learning ⬇️

Shallow neural networks for fluid flow reconstruction with limited sensors

Statistical properties of community structure in large social and information networks

Sub-sampled Newton Methods with Non-uniform Sampling ⬇️

Synthesizing panoramic radiographs by unwrapping dental CT data.

Think locally, act locally: detection of small, medium-sized, and large communities in large networks ⬇️

Tree decompositions and social graphs

Tree-Like Structure in Large Social and Information Networks

Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction ⬇️

Unsupervised Feature Selection for the k-means Clustering Problem ⬇️

Weighted SGD for ℓ p Regression with Randomized Preconditioning

rCUR: an R package for CUR matrix decomposition.