Generalised additive and index models with shape constraints

10 April 2014

Papers citing "Generalised additive and index models with shape constraints"

31 / 31 papers shown

Title
Efficient estimation of partially linear additive Cox models and variance estimation under shape restrictions Junjun Lang Yukun Liu Jing Qin 60 0 0 09 Jul 2024
On some extensions of shape-constrained generalized additive modelling in R Natalya Pya Arnqvist 27 0 0 14 Mar 2024
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 51 2 0 07 Feb 2022
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 111 6 0 02 Feb 2022
Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models Geng Deng Guangning Xu Qiang Fu Xindong Wang Jing Qin 52 1 0 29 Jun 2021
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model Yue Gao Garvesh Raskutti 136 2 0 28 Jun 2021
A new computational framework for log-concave density estimation Wenyu Chen Rahul Mazumder R. Samworth 51 5 0 24 May 2021
Handling Hard Affine SDP Shape Constraints in RKHSs Pierre-Cyril Aubin-Frankowski Z. Szabó 45 7 0 05 Jan 2021
Debiasing Evaluations That are Biased by Evaluations Jingyan Wang Ivan Stelmakh Yuting Wei Nihar B. Shah CML 52 22 0 01 Dec 2020
Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang Linyun He Chunchuan Lyu Shay B. Cohen MLT OffRL 199 1 0 17 Aug 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 62 22 0 26 May 2020
Confidence intervals for multiple isotonic regression and other monotone models Hang Deng Q. Han Cun-Hui Zhang 76 15 0 20 Jan 2020
Analyzing CART Jason M. Klusowski 65 6 0 24 Jun 2019
Enhancing Explainability of Neural Networks through Architecture Constraints Zebin Yang Aijun Zhang Agus Sudjianto AAML 52 87 0 12 Jan 2019
Analysis of a Two-Layer Neural Network via Displacement Convexity Adel Javanmard Marco Mondelli Andrea Montanari MLT 119 57 0 05 Jan 2019
Adaptation in multivariate log-concave density estimation Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim R. Samworth 85 13 0 30 Dec 2018
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 80 22 0 16 Oct 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 90 158 0 11 Sep 2018
Prediction Rule Reshaping Matt Bonakdarpour S. Chatterjee Rina Foygel Barber John D. Lafferty AI4TS 70 8 0 16 May 2018
Robustness of shape-restricted regression estimators: an envelope perspective Q. Han J. Wellner 52 9 0 07 May 2018
$On Integrated $L^{1}$ Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations$ On Integrated $L^{1}$ Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations K. Fokianos Anne Leucht Michael H. Neumann 103 14 0 13 Oct 2017
Nonparametric Shape-restricted Regression Adityanand Guntuboyina B. Sen 101 70 0 17 Sep 2017
Recent progress in log-concave density estimation R. Samworth 61 76 0 10 Sep 2017
Isotonic regression in general dimensions Q. Han Tengyao Wang S. Chatterjee R. Samworth 56 98 0 30 Aug 2017
Semiparametric Efficiency in Convexity Constrained Single Index Model Arun K. Kuchibhotla Rohit Patra B. Sen 33 5 0 01 Aug 2017
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization Francis R. Bach 46 11 0 28 Jul 2017
Convex-constrained Sparse Additive Modeling and Its Extensions Junming Yin Yaoliang Yu 19 3 0 01 May 2017
Least squares estimation in the monotone single index model F. Balabdaoui C. Durot H. Jankowski 75 45 0 19 Oct 2016
Adaptation in log-concave density estimation Arlene K. H. Kim Adityanand Guntuboyina R. Samworth 67 45 0 03 Sep 2016
On Convex Least Squares Estimation when the Truth is Linear Yining Chen J. Wellner 51 13 0 17 Nov 2014
Faithful Variable Screening for High-Dimensional Convex Regression Min Xu Minhua Chen John D. Lafferty 82 28 0 07 Nov 2014