Mark Tygert - RankMe

45 papers Journal 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cumulative Differences Between Paired Samples. Stat. Anal. Data Min. Isabel M. Kloumann, Hannah Korevaar, Chris McConnell, Mark Tygert, Jessica Zhao
2025	J	`jnl`	Measuring multi-calibration. CoRR Ido Guy, Daniel Haimovich, Fridolin Linder, Nastaran Okati, Lorenzo Perini, Niek Tax, Mark Tygert
2024	J	`jnl`	An Efficient Algorithm for Integer Lattice Reduction. SIAM J. Matrix Anal. Appl. François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert
2024	J	`jnl`	Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. CoRR Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert
2024	J	`jnl`	Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. Trans. Mach. Learn. Res. Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert
2023	J	`jnl`	An efficient algorithm for integer lattice reduction. CoRR François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert
2023	J	`jnl`	Calibration of P-values for calibration and for deviation of a subpopulation from the full population. Adv. Comput. Math. Mark Tygert
2023	J	`jnl`	Cumulative differences between paired samples. CoRR Isabel M. Kloumann, Hannah Korevaar, Chris McConnell, Mark Tygert, Jessica Zhao
2022	J	`jnl`	Calibration of P-values for calibration and for deviation of a subpopulation from the full population. CoRR Mark Tygert
2022	J	`jnl`	Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. Aaron Defazio, Mark Tygert, Rachel A. Ward, Jure Zbontar
2022	J	`jnl`	Metrics of Calibration for Probabilistic Predictions. J. Mach. Learn. Res. Imanol Arrieta Ibarra, Paman Gujral, Jonathan Tannen, Mark Tygert, Cherie Xu
2022	J	`jnl`	Metrics of calibration for probabilistic predictions. CoRR Imanol Arrieta Ibarra, Paman Gujral, Jonathan Tannen, Mark Tygert, Cherie Xu
2021	J	`jnl`	A graphical method of cumulative differences between two subpopulations. J. Big Data Mark Tygert
2021	J	`jnl`	Controlling for multiple covariates. CoRR Mark Tygert
2021	J	`jnl`	Cumulative deviation of a subpopulation from the full population. J. Big Data Mark Tygert
2021	J	`jnl`	Cumulative differences between subpopulations. CoRR Mark Tygert
2020	J	`jnl`	An optimizable scalar objective value cannot be objective and should not be the sole objective. CoRR Isabel M. Kloumann, Mark Tygert
2020	J	`jnl`	Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates. CoRR Mark Tygert
2020	J	`jnl`	Plotting the cumulative deviation of a subgroup from the full population as a function of score. CoRR Mark Tygert
2020	J	`jnl`	Secure multiparty computations in floating-point arithmetic. CoRR Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu
2018	J	`jnl`	Randomized algorithms for distributed computation of principal component analysis and singular value decomposition. Adv. Comput. Math. Huamin Li, Yuval Kluger, Mark Tygert
2018	J	`jnl`	Simulating single-coil MRI from the responses of multiple coils. CoRR Mark Tygert, Jure Zbontar
2017	J	`jnl`	Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares. SIAM J. Matrix Anal. Appl. Arthur Szlam, Andrew Tulloch, Mark Tygert
2017	J	`jnl`	Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis. ACM Trans. Math. Softw. Huamin Li, George C. Linderman, Arthur Szlam, Kelly P. Stanton, Yuval Kluger, Mark Tygert
2017	J	`jnl`	Hierarchical loss for classification. CoRR Cinna Wu, Mark Tygert, Yann LeCun
2017	J	`jnl`	Regression-aware decompositions. CoRR Mark Tygert
2016	J	`jnl`	A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Comput. Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam
2016	J	`jnl`	Accurate principal component analysis via a few iterations of alternating least squares. CoRR Arthur Szlam, Andrew Tulloch, Mark Tygert
2016	J	`jnl`	Poor starting points in machine learning. CoRR Mark Tygert
2016	J	`jnl`	Randomized algorithms for distributed computation of principal component analysis and singular value decomposition. CoRR Huamin Li, Yuval Kluger, Mark Tygert
2015	J	`jnl`	A theoretical argument for complex-valued convolutional networks. CoRR Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
2015	J	`jnl`	Scale-invariant learning and convolutional networks. CoRR Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba
2014	J	`jnl`	An implementation of a randomized algorithm for principal component analysis. CoRR Arthur Szlam, Yuval Kluger, Mark Tygert
2011	J	`jnl`	A Fast Randomized Algorithm for Orthogonal Projection. SIAM J. Sci. Comput. E. S. Coakley, Vladimir Rokhlin, Mark Tygert
2011	J	`jnl`	An Algorithm for the Principal Component Analysis of Large Data Sets. SIAM J. Sci. Comput. Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert
2011	J	`jnl`	Computing the confidence levels for a root-mean-square test of goodness-of-fit. Appl. Math. Comput. William Perkins, Mark Tygert, Rachel A. Ward
2010	J	`jnl`	An algorithm for the principal component analysis of large data sets CoRR Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert
2010	J	`jnl`	Fast algorithms for spherical harmonic expansions, III. J. Comput. Phys. Mark Tygert
2009	J	`jnl`	A Randomized Algorithm for Principal Component Analysis. SIAM J. Matrix Anal. Appl. Vladimir Rokhlin, Arthur Szlam, Mark Tygert
2009	J	`jnl`	A fast algorithm for computing minimal-norm solutions to underdetermined systems of linear equations CoRR Mark Tygert
2009	J	`jnl`	A fast randomized algorithm for orthogonal projection CoRR Vladimir Rokhlin, Mark Tygert
2009	J	`jnl`	Fast algorithms for spherical harmonic expansions, III CoRR Mark Tygert
2008	J	`jnl`	Fast algorithms for spherical harmonic expansions, II. J. Comput. Phys. Mark Tygert
2006	J	`jnl`	Fast Algorithms for Spherical Harmonic Expansions. SIAM J. Sci. Comput. Vladimir Rokhlin, Mark Tygert
2006	J	`jnl`	Recurrence relations and fast algorithms CoRR Mark Tygert