Randomized algorithms for matrices and data

von Mahoney, Michael W.
Veröffentlicht 2011

DISTRIBUTED ESTIMATION OF THE INVERSE HESSIAN BY DETERMINANTAL AVERAGING

von Derezinski, Michal
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Lectures on Randomized Numerical Linear Algebra

von Drineas, Petros
Veröffentlicht in Park City Mathematics Institute (26. : 2016 : Midway, Utah) The mathematics of data (2018)

Hessian Eigenspectra of More Realistic Nonlinear Models

von Liao, Zhenyu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)

HEAVY-TAILED UNIVERSALITY PREDICTS TRENDS IN TEST ACCURACIES FOR VERY LARGE PRE-TRAINED DEEP NEURAL NETWORKS

von Martin, Charles H.
Veröffentlicht in SIAM International Conference on Data Mining SIAM International Conference on Data Mining 2020 (2021)

SECOND-ORDER OPTIMIZATION FOR NON-CONVEX MACHINE LEARNING: AN EMPIRICAL STUDY

von Xu, Peng
Veröffentlicht in SIAM International Conference on Data Mining SIAM International Conference on Data Mining 2020 (2021)

IMPROVED GUARANTEES AND A MULTIPLE-DESCENT CURVE FOR COLUMN SUBSET SELECTION AND THE NYSTROMMETHOD

von Derezinski, Michal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

GEOMETRIC RATES OF CONVERGENCE FOR KERNEL-BASED SAMPLING ALGORITHMS

von Khanna, Rajiv
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

A RANDOM MATRIX ANALYSIS OF RANDOM FOURIER FEATURES: BEYOND THE GAUSSIAN KERNEL, A PRECISE PHASE TRANSITION, AND THE CORRESPONDING DOUBLE DESCENT

von Liao, Zhenyu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

EXACT EXPRESSIONS FOR DOUBLE DESCENT AND IMPLICIT REGULARIZATION VIA SURROGATE RANDOM DESIGN

von Derezinski, Michal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks

von Erichson, N. Benjamin
Veröffentlicht in ICPRAM (9. : 2020 : Valletta) ICPRAM 2020 (2020)

ERROR ESTIMATION FOR SKETCHED SVD VIA THE BOOTSTRAP

von Lopes, Miles E.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization

von Derezinski, Michal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

˜Theœ mathematics of data

Veröffentlicht 2018

Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update

von Derezinski, Michal
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 4 of 36 (2022)

Stateful ODE-Nets using Basis Function Expansions

von Queiruga, Alejandro
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

FORECASTING SEQUENTIAL DATA USING CONSISTENT KOOPMAN AUTOENCODERS

von Azencot, Omri
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)

Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware

von Erichson, N. Benjamin
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

PRECISE EXPRESSIONS FOR RANDOM PROJECTIONS: LOW-RANK APPROXIMATION AND RANDOMIZED NEWTON

von Derezinski, Michal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

STOCHASTIC CONTINUOUS NORMALIZING FLOWS: TRAINING SDES AS ODES

von Hodgkinson, Liam
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)