Upper and Lower Bounds on the Performance of Kernel PCA

18 December 2020

Papers citing "Upper and Lower Bounds on the Performance of Kernel PCA"

10 / 10 papers shown

Title
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings Théophile Cantelobre Benjamin Guedj Maria Perez-Ortiz John Shawe-Taylor 50 3 0 07 Dec 2020
PAC-Bayesian Bound for the Conditional Value at Risk Zakaria Mhammedi Benjamin Guedj Robert C. Williamson 52 21 0 26 Jun 2020
PAC-Bayesian Contrastive Unsupervised Representation Learning Kento Nozawa Pascal Germain Benjamin Guedj SSL BDL 43 27 0 10 Oct 2019
High-probability bounds for the reconstruction error of PCA Cassandra Milbradt Martin Wahl 39 9 0 24 Sep 2019
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi Peter Grünwald Benjamin Guedj 54 47 0 31 May 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Gaël Letarte Pascal Germain Benjamin Guedj Franccois Laviolette MQ AI4CE UQCV 70 54 0 24 May 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 79 42 0 20 May 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 156 222 0 16 Jan 2019
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 2017
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 387 543 0 21 Jul 2009