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We provide an approach for learning deep neural net representations of models described via conditional moment restrictions.
Online learning and online convex optimization
Shalev-Shwartz, Shai · 1935
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Large sample properties of generalized method of moments estimators
Hansen, Lars Peter · 1982
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Optimal global rates of convergence for nonparametric regression
Stone, Charles J · 1982
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Asymptotic efficiency in estimation with conditional moment restrictions
Chamberlain, Gary · 1987
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Anatomy of the selection problem
Manski, Charles F · 1989
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Which moments to match?
Gallant, A. and Tauchen, George · 1996
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Adaptive game playing using multiplicative weights
Freund, Yoav and Schapire, Robert E · 1999
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Rademacher processes and bounding the risk of function learning
Koltchinskii, Vladimir and Panchenko, Dmitriy · 2000
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Rademacher and gaussian complexities: Risk bounds and structural results
Bartlett, Peter L. and Mendelson, Shahar · 2003
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Neural Network Learning: Theoretical Foundations
Anthony, Martin and Bartlett, Peter L · 2009
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Optimization, learning, and games with predictable sequences
Rakhlin, Alexander and Sridharan, Karthik · 2013
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Generative adversarial nets
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014
Cited alongside, same era.
Understanding Machine Learning: From Theory to Algorithms
Shalev-Shwartz, Shai and Ben-David, Shai · 2014
Cited alongside, same era.
Fast convergence of regularized learning in games
Syrgkanis, Vasilis, Agarwal, Alekh, Luo, Haipeng, and Schapire, Robert E · 2015
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Generalized random forests
Athey, Susan, Tibshirani, Julie, and Wager, Stefan · 2016
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Arjovsky, Martin, Chintala, Soumith, and Bottou, Léon · 2017
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NIPS 2016 tutorial: Generative adversarial networks
Goodfellow, Ian J · 2017
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Deep IV: A flexible approach for counterfactual prediction
Hartford, Jason, Lewis, Greg, Leyton-Brown, Kevin, and Taddy, Matt · 2017
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Sieve semiparametric two-step gmm under weak dependence
Chen, Xiaohong and Liao, Zhipeng · 2015
Cited alongside, same era.
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Kocaoglu, M., Snyder, C., Dimakis, A. G., and Vishwanath, S · 2017
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