Mark Tygert

According to our database, Mark Tygert authored at least 36 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Efficient Algorithm for Integer Lattice Reduction.

François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert

SIAM J. Matrix Anal. Appl., March, 2024

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds.

Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

CoRR, 2024

2023

Calibration of P-values for calibration and for deviation of a subpopulation from the full population.

Mark Tygert

Adv. Comput. Math., October, 2023

Cumulative differences between paired samples.

Isabel M. Kloumann, Hannah Korevaar, Chris McConnell, Mark Tygert, Jessica Zhao

CoRR, 2023

2022

Metrics of Calibration for Probabilistic Predictions.

Imanol Arrieta Ibarra, Paman Gujral, Jonathan Tannen, Mark Tygert, Cherie Xu

J. Mach. Learn. Res., 2022

Compressed sensing with a jackknife and a bootstrap.

Aaron Defazio, Mark Tygert, Rachel A. Ward, Jure Zbontar

J. Data Sci. Stat. Vis., 2022

2021

A graphical method of cumulative differences between two subpopulations.

Mark Tygert

J. Big Data, 2021

Cumulative deviation of a subpopulation from the full population.

Mark Tygert

J. Big Data, 2021

Controlling for multiple covariates.

Mark Tygert

CoRR, 2021

Cumulative differences between subpopulations.

Mark Tygert

CoRR, 2021

2020

Plotting the cumulative deviation of a subgroup from the full population as a function of score.

Mark Tygert

CoRR, 2020

An optimizable scalar objective value cannot be objective and should not be the sole objective.

Isabel M. Kloumann, Mark Tygert

CoRR, 2020

Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates.

Mark Tygert

CoRR, 2020

Secure multiparty computations in floating-point arithmetic.

Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

CoRR, 2020

2018

Simulating single-coil MRI from the responses of multiple coils.

Mark Tygert, Jure Zbontar

CoRR, 2018

Randomized algorithms for distributed computation of principal component analysis and singular value decomposition.

Huamin Li, Yuval Kluger, Mark Tygert

Adv. Comput. Math., 2018

2017

Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis.

Huamin Li, George C. Linderman, Arthur Szlam, Kelly P. Stanton, Yuval Kluger, Mark Tygert

ACM Trans. Math. Softw., 2017

Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares.

Arthur Szlam, Andrew Tulloch, Mark Tygert

SIAM J. Matrix Anal. Appl., 2017

Regression-aware decompositions.

Mark Tygert

CoRR, 2017

Hierarchical loss for classification.

Cinna Wu, Mark Tygert, Yann LeCun

CoRR, 2017

2016

A Mathematical Motivation for Complex-Valued Convolutional Networks.

Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam

Neural Comput., 2016

Poor starting points in machine learning.

Mark Tygert

CoRR, 2016

Accurate principal component analysis via a few iterations of alternating least squares.

Arthur Szlam, Andrew Tulloch, Mark Tygert

CoRR, 2016

2015

Scale-invariant learning and convolutional networks.

Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba

CoRR, 2015

A theoretical argument for complex-valued convolutional networks.

Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert

CoRR, 2015

2014

An implementation of a randomized algorithm for principal component analysis.

Arthur Szlam, Yuval Kluger, Mark Tygert

CoRR, 2014

2011

An Algorithm for the Principal Component Analysis of Large Data Sets.

Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert

SIAM J. Sci. Comput., 2011

A Fast Randomized Algorithm for Orthogonal Projection.

E. S. Coakley, Vladimir Rokhlin, Mark Tygert

SIAM J. Sci. Comput., 2011

Computing the confidence levels for a root-mean-square test of goodness-of-fit.

William Perkins, Mark Tygert, Rachel A. Ward

Appl. Math. Comput., 2011

2010

Fast algorithms for spherical harmonic expansions, III.

Mark Tygert

J. Comput. Phys., 2010

2009

A Randomized Algorithm for Principal Component Analysis.

Vladimir Rokhlin, Arthur Szlam, Mark Tygert

SIAM J. Matrix Anal. Appl., 2009

A fast randomized algorithm for orthogonal projection

Vladimir Rokhlin, Mark Tygert

CoRR, 2009

A fast algorithm for computing minimal-norm solutions to underdetermined systems of linear equations

Mark Tygert

CoRR, 2009

2008

Fast algorithms for spherical harmonic expansions, II.

Mark Tygert

J. Comput. Phys., 2008

2006

Fast Algorithms for Spherical Harmonic Expansions.

Vladimir Rokhlin, Mark Tygert

SIAM J. Sci. Comput., 2006

Recurrence relations and fast algorithms

Mark Tygert

CoRR, 2006