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Instrumental variable (IV) regression is a strategy for learning causal relationships in observational data.
Tariff on Animal and Vegetable Oils
Philip G Wright · 1928
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Jean-Pierre Florens · 2003
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Whitney K Newey and James L Powell · 2003
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James H Stock and Francesco Trebbi · 2003
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Jean-Pierre Florens · 2003
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Instrumental variable estimation of nonparametric models
Whitney K Newey and James L Powell · 2003
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Retrospectives: Who invented instrumental variable regression?
James H Stock and Francesco Trebbi · 2003
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Kenji Fukumizu, Francis R Bach, and Michael I Jordan · 2004
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Serge Darolles, Jean-Pierre Florens, and Christian Gourieroux · 2004
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Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
Kenji Fukumizu, Francis R Bach, and Michael I Jordan · 2004
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Risk bounds for regularized least-squares algorithm with operator-value kernels
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On learning vector-valued functions
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Steve Smale and Ding-Xuan Zhou · 2005
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Xiaohong Chen and Demian Pouzo · 2012
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Tail inequalities for sums of random matrices that depend on the intrinsic dimension
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A general regression technique for learning transductions
Corinna Cortes, Mehryar Mohri, and Jason Weston · 2005
Cited alongside, same era.
Risk bounds for regularized least-squares algorithm with operator-value kernels
Ernesto De Vito and Andrea Caponnetto · 2005
Cited alongside, same era.
On learning vector-valued functions
Charles A Micchelli and Massimiliano Pontil · 2005
Cited alongside, same era.
Shannon sampling II: Connections to learning theory
Steve Smale and Ding-Xuan Zhou · 2005
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Estimation of nonparametric conditional moment models with possibly nonsmooth generalized residuals
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Modelling transition dynamics in MDPs with RKHS embeddings
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Tail inequalities for sums of random matrices that depend on the intrinsic dimension
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Hilbert space embeddings of predictive state representations
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Hilbert space embeddings of predictive state representations
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