There exists a neural network that does not make avoidable mistakes. - A. Ronald Gallant; Halbert White (ICNN, 1988)

Economic prediction using neural networks: the case of IBM daily stock returns. - Halbert White (ICNN, 1988)

Learning in Artificial Neural Networks: A Statistical Perspective. - Halbert White (Neural Comput., 1989)

Multilayer feedforward networks are universal approximators. - Kurt Hornik; Maxwell B. Stinchcombe; Halbert White (Neural Networks, 1989)

Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights. - Maxwell B. Stinchcombe; Halbert White (IJCNN, 1990)

Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. - Kurt Hornik; Maxwell B. Stinchcombe; Halbert White (Neural Networks, 1990)

Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. - Halbert White (Neural Networks, 1990)

On learning the derivatives of an unknown mapping with multilayer feedforward networks. - A. Ronald Gallant; Halbert White (Neural Networks, 1992)

Learning Mackey-Glass from 25 Examples, Plus or Minus 2. - Mark Plutowski; Garrison W. Cottrell; Halbert White (NIPS, 1993)

Cross-Validation Estimates ISME. - Mark Plutowski; Shinichi Sakata; Halbert White (NIPS, 1993)

Letters to the editor. - Kurt Hornik; Maxwell B. Stinchcombe; Halbert White (Neural Networks, 1993)

Selecting concise training sets from clean data. - Mark Plutowski; Halbert White (IEEE Trans. Neural Networks, 1993)

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. - Kurt Hornik; Maxwell B. Stinchcombe; Halbert White; Peter Auer (Neural Comput., 1994)

A Convergence Result for Learning in Recurrent Neural Networks. - Chung-Ming Kuan; Kurt Hornik; Halbert White (Neural Comput., 1994)

Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction. - William G. Baxt; Halbert White (Neural Comput., 1995)

Regularized neural networks: some convergence rate results. - Valentina Corradi; Halbert White (Neural Comput., 1995)

Sup-norm approximation bounds for networks through probabilistic methods. - Joseph E. Yukich; Maxwell B. Stinchcombe; Halbert White (IEEE Trans. Inf. Theory, 1995)

Experience with selecting exemplars from clean data. - Mark Plutowski; Garrison W. Cottrell; Halbert White (Neural Networks, 1996)

Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators. - Xiaohong Chen; Halbert White (IEEE Trans. Inf. Theory, 1999)

Introduction to the special issue on neural networks in financial engineering. - Yaser S. Abu-Mostafa; Amir F. Atiya; Malik Magdon-Ismail; Halbert L. White (IEEE Trans. Neural Networks, 2001)

Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates. - Halbert L. White; Jeffrey S. Racine (IEEE Trans. Neural Networks, 2001)

Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning. - Halbert White; Karim Chalak (J. Mach. Learn. Res., 2009)

Testing correct model specification using extreme learning machines. - Jin Seo Cho; Halbert White (Neurocomputing, 2011)

Linking Granger Causality and the Pearl Causal Model with Settable Systems. - Halbert White; Karim Chalak; Xun Lu (NIPS Mini-Symposium on Causality in Time Series, 2011)

Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks. - Jin Seo Cho; Isao Ishida; Halbert White (Neural Comput., 2011)

Causality, Conditional Independence, and Graphical Separation in Settable Systems. - Karim Chalak; Halbert White (Neural Comput., 2012)

Higher-Order Approximations for Testing Neglected Nonlinearity. - Halbert White; Jin Seo Cho (Neural Comput., 2012)

Testing a constant mean function using functional regression. - Jin Seo Cho; Meng Huang; Halbert White (Neural Comput. Appl., 2023)