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Deep Neural Networks for Estimation and Inference

Deep Neural Networks for Estimation and Inference

26 September 2018
M. Farrell
Tengyuan Liang
S. Misra
    BDL
ArXivPDFHTML

Papers citing "Deep Neural Networks for Estimation and Inference"

30 / 30 papers shown
Title
Multiply Robust Estimator Circumvents Hyperparameter Tuning of Neural
  Network Models in Causal Inference
Multiply Robust Estimator Circumvents Hyperparameter Tuning of Neural Network Models in Causal Inference
Mehdi Rostami
O. Saarela
CML
16
0
0
20 Jul 2023
Testing for the Markov Property in Time Series via Deep Conditional
  Generative Learning
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Yunzhe Zhou
C. Shi
Lexin Li
Q. Yao
AI4TS
30
8
0
30 May 2023
Semiparametric Regression for Spatial Data via Deep Learning
Semiparametric Regression for Spatial Data via Deep Learning
Kexuan Li
Jun Zhu
A. Ives
V. Radeloff
Fangfang Wang
15
8
0
10 Jan 2023
Robust Estimation and Inference for Expected Shortfall Regression with
  Many Regressors
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors
Xuming He
Kean Ming Tan
Wen-Xin Zhou
16
7
0
11 Dec 2022
Criteria for Classifying Forecasting Methods
Criteria for Classifying Forecasting Methods
Tim Januschowski
Jan Gasthaus
Bernie Wang
David Salinas
Valentin Flunkert
Michael Bohlke-Schneider
Laurent Callot
AI4TS
16
173
0
07 Dec 2022
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Damir Filipović
P. Pasricha
16
3
0
02 Dec 2022
Inference on Strongly Identified Functionals of Weakly Identified
  Functions
Inference on Strongly Identified Functionals of Weakly Identified Functions
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
30
15
0
17 Aug 2022
Deep Sufficient Representation Learning via Mutual Information
Deep Sufficient Representation Learning via Mutual Information
Siming Zheng
Yuanyuan Lin
Jian Huang
SSL
DRL
27
0
0
21 Jul 2022
Optimality of Matched-Pair Designs in Randomized Controlled Trials
Optimality of Matched-Pair Designs in Randomized Controlled Trials
Yuehao Bai
16
52
0
15 Jun 2022
How do noise tails impact on deep ReLU networks?
How do noise tails impact on deep ReLU networks?
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
ODL
30
13
0
20 Mar 2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics
Targeted Optimal Treatment Regime Learning Using Summary Statistics
Jianing Chu
Wenbin Lu
Shu Yang
CML
10
18
0
17 Jan 2022
Deep Nonparametric Estimation of Operators between Infinite Dimensional
  Spaces
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
Hao Liu
Haizhao Yang
Minshuo Chen
T. Zhao
Wenjing Liao
32
36
0
01 Jan 2022
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted
  $L_1$ regularized Neural Networks Predictions
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted L1L_1L1​ regularized Neural Networks Predictions
M. Rostami
O. Saarela
M. Escobar
34
1
0
02 Aug 2021
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
31
13
0
21 Jul 2021
Machine Learning for Variance Reduction in Online Experiments
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo
Dominic Coey
Mikael Konutgan
Wenting Li
Ch. P. Schoener
Matt Goldman
9
34
0
14 Jun 2021
GEAR: On Optimal Decision Making with Auxiliary Data
GEAR: On Optimal Decision Making with Auxiliary Data
Hengrui Cai
R. Song
Wenbin Lu
27
1
0
21 Apr 2021
Rejoinder: On nearly assumption-free tests of nominal confidence
  interval coverage for causal parameters estimated by machine learning
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
CML
25
16
0
07 Aug 2020
Provably Efficient Neural Estimation of Structural Equation Model: An
  Adversarial Approach
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao
You-Lin Chen
Zhuoran Yang
Bo Dai
Zhaoran Wang
Mladen Kolar
22
32
0
02 Jul 2020
Assumption-lean inference for generalised linear model parameters
Assumption-lean inference for generalised linear model parameters
S. Vansteelandt
O. Dukes
CML
14
49
0
15 Jun 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for
  Contextual Bandits under Realizability
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
D. Simchi-Levi
Yunzong Xu
OffRL
26
107
0
28 Mar 2020
Uncertainty Quantification for Sparse Deep Learning
Uncertainty Quantification for Sparse Deep Learning
Yuexi Wang
Veronika Rockova
BDL
UQCV
20
31
0
26 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile
  Treatment Effects and Beyond
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
23
25
0
30 Dec 2019
An introduction to flexible methods for policy evaluation
An introduction to flexible methods for policy evaluation
M. Huber
CML
19
7
0
01 Oct 2019
Affordable Uplift: Supervised Randomization in Controlled Experiments
Affordable Uplift: Supervised Randomization in Controlled Experiments
Johannes Haupt
D. Jacob
R. M. Gubela
Stefan Lessmann
14
5
0
01 Oct 2019
Policy Targeting under Network Interference
Policy Targeting under Network Interference
Davide Viviano
22
33
0
24 Jun 2019
Asymptotic Properties of Neural Network Sieve Estimators
Asymptotic Properties of Neural Network Sieve Estimators
Xiaoxi Shen
Chang Jiang
Lyudamila Sakhanenko
Qing Lu
13
17
0
03 Jun 2019
Automatic Debiased Machine Learning of Causal and Structural Effects
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov
Whitney Newey
Rahul Singh
CML
AI4CE
16
103
0
14 Sep 2018
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
215
719
0
12 May 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
602
0
14 Feb 2016
Learning without Concentration
Learning without Concentration
S. Mendelson
80
333
0
01 Jan 2014
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