Fetching the paper…
Reading the bibliography…
Conformal prediction is a general method that converts almost any point predictor to a prediction set.
Harrison, D. and Rubinfeld, D. L. (1978), “Hedonic housing prices and the demand for clean air,” Journal of environmental economics and management
1978
Earlier work this paper cites.
Tibshirani, R. (1996), “Regression shrinkage and selection via the lasso,” Journal of the Royal Statistical Society: Series B
1996
Earlier work this paper cites.
Jolliffe, I. T., Trendafilov, N. T., and Uddin, M. (2003), “A modified principal component technique based on the LASSO,” Journal of computational and Graphical Statistics
2003
Earlier work this paper cites.
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. (2004), “Least angle regression,” Annals of Statistics
2004
Earlier work this paper cites.
d’Aspremont, A., Ghaoui, L. E., Jordan, M. I., and Lanckriet, G. R. (2005), “A direct formulation for sparse PCA using semidefinite programming,” in Advances in neural information processing systems
2005
Earlier work this paper cites.
Vovk, V., Gammerman, A., and Shafer, G. (2005), Algorithmic Learning in a Random World
2005
Earlier work this paper cites.
Zou, H. and Hastie, T. (2005), “Regularization and variable selection via the elastic net,” Journal of the Royal Statistical Society: Series B
2005
Earlier work this paper cites.
2006
Earlier work this paper cites.
Friedman, J., Hastie, T., and Tibshirani, R. (2008), “Sparse inverse covariance estimation with the graphical lasso,” Biostatistics
2008
Earlier work this paper cites.
Garrigues, P. and El Ghaoui, L. (2009), “An homotopy algorithm for the Lasso with online observations,” in Advances in neural information processing systems
2009
Earlier work this paper cites.
Vovk, V., Nouretdinov, I., and Gammerman, A. (2009), “On-line predictive linear regression,” The Annals of Statistics
2009
Cited alongside, same era.
Hebiri, M. (2010), “Sparse conformal predictors,” Statistics and Computing
2010
Cited alongside, same era.
Shalev-Shwartz, S., Shamir, O., Srebro, N., and Sridharan, K. (2010), “Learnability, stability and uniform convergence,” Journal of Machine Learning Research
2010
Cited alongside, same era.
Tibshirani, R. J. and Taylor, J. (2011), “The solution path of the generalized lasso,” Annals of Statistics
2011
Cited alongside, same era.
Xu, H., Caramanis, C., and Mannor, S. (2012), “Sparse algorithms are not stable: A no-free-lunch theorem,” IEEE transactions on pattern analysis and machine intelligence
2012
Cited alongside, same era.
Lei, J. (2014), “Classification with confidence,” Biometrika
2014
Later among the works it cites.
Lei, J. and Wasserman, L. (2014), “Distribution-free prediction bands for non-parametric regression,” Journal of the Royal Statistical Society: Series B
2014
Later among the works it cites.
Chen, K. and Lei, J. (2015), “Localized Functional Principal Component Analysis,” Journal of the American Statistical Association
2015
Later among the works it cites.
Lei, J., Rinaldo, A., and Wasserman, L. (2015), “A conformal prediction approach to explore functional data,” Annals of Mathematics and Artificial Intelligence
2015
Later among the works it cites.
Lei, J. and Vu, V. Q. (2015), “Sparsistency and agnostic inference in sparse PCA,” The Annals of Statistics
2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Lei, J., Robins, J., and Wasserman, L. (2013), “Distribution Free Prediction Sets,” Journal of the American Statistical Association
2013
Cited alongside, same era.
Tibshirani, R. J. (2013), “The lasso problem and uniqueness,” Electronic Journal of Statistics
2013
Cited alongside, same era.
Vu, V. Q., Cho, J., Lei, J., and Rohe, K. (2013), “Fantope projection and selection: A near-optimal convex relaxation of sparse PCA,” in Advances in neural information processing systems
2013
Cited alongside, same era.
Yu, B. (2013), “Stability,” Bernoulli
2013
Cited alongside, same era.
Burnaev, E. and Vovk, V. (2014), “Efficiency of conformalized ridge regression.” in COLT
2014
Cited alongside, same era.
2016
Later among the works it cites.
2016
Later among the works it cites.
Wang, Y.-X., Lei, J., and Fienberg, S. E. (2016), “Learning with differential privacy: Stability, learnability and the sufficiency and necessity of ERM principle,” Journal of Machine Learning Research
2016
Later among the works it cites.
— (2017), “Cross-Validation with Confidence,” arXiv preprint arXiv:1703.07904
2017
Closest in time.
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2017), “Distribution-Free Predictive Inference For Regression,” Journal of the American Statistical Association
2017
Closest in time.