Optimal Weak to Strong Learning

3 June 2022

Papers citing "Optimal Weak to Strong Learning"

11 / 11 papers shown

Title
Revisiting Agnostic Boosting Arthur da Cunha Mikael Møller Høgsgaard Andrea Paudice Yuxin Sun FedML 64 0 0 13 Mar 2025
Sample-Optimal Agnostic Boosting with Unlabeled Data Udaya Ghai Karan Singh 66 1 0 06 Mar 2025
Improved Margin Generalization Bounds for Voting Classifiers Mikael Møller Høgsgaard Kasper Green Larsen AI4CE 41 0 0 23 Feb 2025
Sample-Efficient Agnostic Boosting Udaya Ghai Karan Singh 32 0 0 31 Oct 2024
The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem Guy Blanc Alexandre Hayderi Caleb M. Koch Li-Yang Tan 23 2 0 17 Sep 2024
Your Weak LLM is Secretly a Strong Teacher for Alignment Leitian Tao Yixuan Li 88 5 0 13 Sep 2024
The Many Faces of Optimal Weak-to-Strong Learning Mikael Møller Høgsgaard Kasper Green Larsen Markus Engelund Mathiasen 21 1 0 30 Aug 2024
Optimal Parallelization of Boosting Arthur da Cunha Mikael Møller Høgsgaard Kasper Green Larsen 28 0 0 29 Aug 2024
AdaBoost is not an Optimal Weak to Strong Learner M. Hogsgaard Kasper Green Larsen Martin Ritzert 11 5 0 27 Jan 2023
The Impossibility of Parallelizing Boosting Amin Karbasi Kasper Green Larsen 21 3 0 23 Jan 2023
Bagging is an Optimal PAC Learner Kasper Green Larsen 6 16 0 05 Dec 2022