Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses

3 July 2019

Papers citing "Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses"

7 / 7 papers shown

Title
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 56 1 0 21 Feb 2024
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data Tianyu Zhang Jing Lei 23 1 0 18 Oct 2023
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos Ali Kavis V. Cevher ODL 39 12 0 03 Nov 2022
Learning new physics efficiently with nonparametric methods Marco Letizia Gianvito Losapio Marco Rando Gaia Grosso A. Wulzer M. Pierini M. Zanetti Lorenzo Rosasco OOD 31 31 0 05 Apr 2022
Sampling from Arbitrary Functions via PSD Models Ulysse Marteau-Ferey Francis R. Bach Alessandro Rudi 24 10 0 20 Oct 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression Junhyung Park Uri Shalit Bernhard Schölkopf Krikamol Muandet CML 21 31 0 16 Feb 2021
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 33 114 0 18 Jun 2020