Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability

31 May 2023

Papers citing "Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability"

6 / 6 papers shown

Title
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 43 0 0 22 Apr 2025
Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin M. Reimherr 25 6 0 22 Feb 2024
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification Pierre Colombo Nathan Noiry Guillaume Staerman Pablo Piantanida FaML DRL 38 1 0 21 Oct 2023
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 27 3 0 09 Jun 2022
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning Giulia Denevi Massimiliano Pontil C. Ciliberto 34 39 0 25 Aug 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 790 0 19 Feb 2009