conftrace_

margin theory

18 papers

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Co-occurring keywords

generalization bound (652) ensemble learning (1274) boosting algorithm (78) multiclass classification (181) implicit bia (107) kernel methods (1097) sample compression (32) generalization error (285) gradient descent (1144) margin-based learning (26)

Papers

Regimes of No Gain in Multi-class Active Learning JMLR 2024
The Implicit Bias of Gradient Descent on Separable Multiclass Data NIPS 2024
Scalable Optimal Margin Distribution Machine IJCAI 2023
The Implicit Bias of Benign Overfitting JMLR 2023
Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics AISTATS 2022
Label Distribution Learning Machine ICML 2021
Margins are Insufficient for Explaining Gradient Boosting NIPS 2020
Margin-Based Generalization Lower Bounds for Boosted Classifiers NIPS 2019
Learning Deep ResNet Blocks Sequentially using Boosting Theory ICML 2018
Nearly optimal classification for semimetrics JMLR 2017
Boosting with Abstention NIPS 2016
Nearly Optimal Classification for Semimetrics AISTATS 2016
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Multiclass Boosting: Theory and Algorithms NIPS 2011
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004