Fetching the paper…
Reading the bibliography…
Modern computational models in supervised machine learning are often highly parameterized universal approximators.
On Information and Sufficiency
Kullback, S.; Leibler, R.A · 1951
Earlier work this paper cites.
A Class of Methods for Solving Nonlinear Simultaneous Equations
Broyden, C.G · 1965
Earlier work this paper cites.
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H · 1973
Earlier work this paper cites.
The Jackknife—A Review
Miller, R.G · 1974
Earlier work this paper cites.
Distribution of information statistics and validity criteria of models
Takeuchi, K · 1976
Earlier work this paper cites.
An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike’s Criterion
Stone, M · 1977
Earlier work this paper cites.
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Golub, G.H.; Heath, M.; Wahba, G · 1979
Earlier work this paper cites.
Maximum Likelihood Estimation of Misspecified Models
White, H · 1982
Earlier work this paper cites.
Multivariate adaptive regression splines
Friedman, J.H · 1991
Earlier work this paper cites.
Bias Reduction of Maximum Likelihood Estimates
Firth, D · 1993
Cited alongside, same era.
Generalised Information Criteria in Model Selection
Konishi, S.; Kitagawa, G · 1996
Cited alongside, same era.
Bias/Variance Decompositions for Likelihood-Based Estimators
Heskes, T · 1998
Cited alongside, same era.
Bias correction of cross-validation criterion based on Kullback–Leibler information under a general condition
Yanagihara, H.; Tonda, T.; Matsumoto, C · 2005
Cited alongside, same era.
Bias Reduction in Exponential Family Nonlinear Models
Kosmidis, I · 2007
Cited alongside, same era.
Kullback-Leibler divergence estimation of continuous distributions
Pérez-Cruz, F · 2008
Cited alongside, same era.
A generic algorithm for reducing bias in parametric estimation
Kosmidis, I.; Firth, D · 2010
Later among the works it cites.
Bias in parametric estimation: Reduction and useful side-effects
Kosmidis, I · 2014
Later among the works it cites.
Berk–Nash Equilibrium: A Framework for Modeling Agents With Misspecified Models
Esponda, I.; Pouzo, D · 2016
Later among the works it cites.
Median bias reduction of maximum likelihood estimates
Kenne Pagui, E.C.; Salvan, A.; Sartori, N · 2017
Later among the works it cites.
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy
Jiang, B · 2018
Closest in time.
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients
Ross, A.; Doshi-Velez, F · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The Elements of Statistical Learning
Hastie, T.; Tibshirani R.; Friedman J · 2009
Cited alongside, same era.
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
Nguyen, X.; Wainwright, M.J.; Jordan, M.I · 2010
Cited alongside, same era.
Closest in time.
Measuring Generalization and Overfitting in Machine Learning
Roelofs, R · 2019
Closest in time.
Information Corrected Estimation: A Bias Correcting Parameter Estimation Method, Supplementary Materials, 2021
Ward, T · 2021
Closest in time.