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convex loss function

19 papers

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Co-occurring keywords

convex optimization (1321) loss function (462) logistic loss (30) convex loss (37) reproducing kernel hilbert space (334) fenchel-young loss (9) iterative regularization (8) kernel methods (1097) regret bound (1926) support vector machine (978)

Papers

Are Ensembles Getting Better All the Time? JMLR 2025
The Nyström method for convex loss functions JMLR 2024
Learning with Fitzpatrick Losses NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
LQF: Linear Quadratic Fine-Tuning CVPR 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Explaining fast improvement in online imitation learning UAI 2021
Robust high dimensional learning for Lipschitz and convex losses JMLR 2020
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms AISTATS 2019
Convex Elicitation of Continuous Properties NIPS 2018
Multi-Positive and Unlabeled Learning IJCAI 2017
Gradient Boosting on Stochastic Data Streams AISTATS 2017
Iterative Regularization for Learning with Convex Loss Functions JMLR 2016
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014
Beating Bandits in Gradually Evolving Worlds COLT 2013
Online Optimization with Gradual Variations COLT 2012
Composite Binary Losses JMLR 2010
implicit Online Learning with Kernels NIPS 2006