Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

31 January 2016

Papers citing "Additive Approximations in High Dimensional Nonparametric Regression via the SALSA"

7 / 7 papers shown

Title
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 40 0 0 12 Jan 2024
HARFE: Hard-Ridge Random Feature Expansion Esha Saha Hayden Schaeffer Giang Tran 38 14 0 06 Feb 2022
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning Yuege Xie Bobby Shi Hayden Schaeffer Rachel A. Ward 81 9 0 07 Dec 2021
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation Francisco Vargas Ryan Cotterell 41 29 0 20 Sep 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 29 174 0 15 Mar 2019
Data-driven polynomial chaos expansion for machine learning regression Emiliano Torre S. Marelli P. Embrechts Bruno Sudret 17 129 0 09 Aug 2018
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016