Deep Neural Networks for Estimation and Inference

26 September 2018

Papers citing "Deep Neural Networks for Estimation and Inference"

33 / 33 papers shown

Title
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 Yunzhe Zhou C. Shi Lexin Li Q. Yao AI4TS 30 8 0 30 May 2023
Semiparametric Regression for Spatial Data via Deep Learning Kexuan Li Jun Zhu A. Ives V. Radeloff Fangfang Wang 20 8 0 10 Jan 2023
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 Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 21 173 0 07 Dec 2022
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 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 Siming Zheng Yuanyuan Lin Jian Huang SSL DRL 30 0 0 21 Jul 2022
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? Jianqing Fan Yihong Gu Wen-Xin Zhou ODL 30 13 0 20 Mar 2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics Jianing Chu Wenbin Lu Shu Yang CML 17 18 0 17 Jan 2022
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 M. Rostami O. Saarela M. Escobar 34 1 0 02 Aug 2021
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 Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 14 34 0 14 Jun 2021
GEAR: On Optimal Decision Making with Auxiliary Data Hengrui Cai R. Song Wenbin Lu 27 1 0 21 Apr 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments Lizhen Nie Mao Ye Qiang Liu D. Nicolae CML 17 67 0 14 Mar 2021
Evaluating (weighted) dynamic treatment effects by double machine learning Hugo Bodory M. Huber Lukávs Lafférs CML 14 43 0 01 Dec 2020
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders Xiaohong Chen Y. Liu Shujie Ma Zheng-Zhong Zhang CML 10 11 0 15 Sep 2020
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 33 16 0 07 Aug 2020
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 S. Vansteelandt O. Dukes CML 19 49 0 15 Jun 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability D. Simchi-Levi Yunzong Xu OffRL 31 107 0 28 Mar 2020
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 Nathan Kallus Xiaojie Mao Masatoshi Uehara 23 25 0 30 Dec 2019
An introduction to flexible methods for policy evaluation M. Huber CML 19 7 0 01 Oct 2019
Affordable Uplift: Supervised Randomization in Controlled Experiments Johannes Haupt D. Jacob R. M. Gubela Stefan Lessmann 19 5 0 01 Oct 2019
Policy Targeting under Network Interference Davide Viviano 24 33 0 24 Jun 2019
Asymptotic Properties of Neural Network Sieve Estimators Xiaoxi Shen Chang Jiang Lyudamila Sakhanenko Qing Lu 15 17 0 03 Jun 2019
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 Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 215 719 0 12 May 2016
Benefits of depth in neural networks Matus Telgarsky 125 602 0 14 Feb 2016
Learning without Concentration S. Mendelson 80 334 0 01 Jan 2014