link function

Phase transitions for the existence of unregularized M-estimators in single index models ICML 2025 An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024 All your loss are belong to Bayes NeurIPS 2020 An Embedding Framework for Consistent Polyhedral Surrogates NeurIPS 2019 Latent distance estimation for random geometric graphs NeurIPS 2019 Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019 Learning Single-Index Models in Gaussian Space COLT 2018 Chained Gaussian Processes AISTATS 2016 A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Convexity of Proper Composite Binary Losses AISTATS 2010 Variable margin losses for classifier design NeurIPS 2010