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Minimax-optimal nonparametric regression in high dimensions
28 January 2014
Yun Yang
S. Tokdar
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Papers citing
"Minimax-optimal nonparametric regression in high dimensions"
17 / 17 papers shown
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Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
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Estimation and Inference with Trees and Forests in High Dimensions
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07 Jul 2020
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
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Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery
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Haoming Jiang
Wenjing Liao
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05 Aug 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo
Wei Yuan
Cun-Hui Zhang
47
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30 Jul 2019
Incremental Intervention Effects in Studies with Dropout and Many Timepoints
Kwangho Kim
Edward H. Kennedy
A. Naimi
42
7
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09 Jul 2019
A Bayesian Perspective of Statistical Machine Learning for Big Data
R. Sambasivan
Sourish Das
S. Sahu
BDL
GP
61
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09 Nov 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
Ahmed Alaa
M. Schaar
72
89
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20 Feb 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
Ahmed Alaa
Mihaela van der Schaar
CML
73
43
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24 Dec 2017
Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation
Rafael Izbicki
Ann B. Lee
195
78
0
26 Apr 2017
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood
Yun Yang
D. Pati
84
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02 Jan 2017
Fast Gaussian Process Regression for Big Data
Sourish Das
Sasanka Roy
R. Sambasivan
GP
113
48
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17 Sep 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
Junwei Lu
Mladen Kolar
Han Liu
107
23
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10 Mar 2015
Adaptive Bayesian Estimation of Conditional Densities
Andriy Norets
D. Pati
111
36
0
22 Aug 2014
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