Kernel conditional quantile estimation via reduction revisited

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2009, Pages 938-943

  Quadrianto, Novi ^a   Kersting, Kristian ^b   Reid, Mark D ^a   Caetano, Tibério S ^a   Buntine, Wray L ^a  

^a CSIRO   (Australia)

^b FRAUNHOFER IAIS   (Germany)

Author keywords

Gaussian processes; Quantile regression; Regression

Indexed keywords

BAYES-RISK MINIMIZATION; BENCHMARK DATASETS; CONDITIONAL DISTRIBUTION; CONDITIONAL QUANTILES; GAUSSIAN PROCESS PRIORS; GAUSSIAN PROCESSES; HYPERPARAMETER ESTIMATION; NOISE RATE; NON-PARAMETRIC PROBABILISTIC MODELS; QUANTILE FUNCTIONS; QUANTILE REGRESSION; SPARSIFICATION; STATE-OF-THE-ART APPROACH;

ESTIMATION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MAXIMUM LIKELIHOOD ESTIMATION; RISK PERCEPTION;

REGRESSION ANALYSIS;

EID: 77951183269     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2009.82     Document Type: Conference Paper

References (12)

1. C. Perlich, S. Rosset, R. D. Lawrence, and B. Zadrozny, "High-quantile modeling for customer wallet estimation and other applications," in KDD '07. ACM, 2007, pp. 977-985.
2. R. Koenker and G. Bassett, "Regression quantiles," Econometrica, vol. 46, no. 1, pp. 33-50, 1978.
3. V. Vapnik, Estimation of Dependences Based on Empirical Data. Springer, 1982.
4. C. Rasmussen, "Evaluation of Gaussian processes and other methods for non-linear regression," Ph.D. dissertation, Department of Computer Science, University of Toronto, 1996, http://www.kyb.mpg.de/publications/pss/ ps2304.ps.
5. H. Nickisch and C. E. Rasmussen, "Approximations for binary gaussian process clasification," JMLR, vol. 9, pp. 2035- 2078, 2008.
6. J. Langford, R. Oliveira, and B. Zadrozny, "Predicting conditional quantiles via reduction to classification," in UAI, 2006.
7. C. E. Rasmussen and C. K. I. Williams, Gaussian Processes for Machine Learning. Cambridge, MA: MIT Press, 2006.
8. R. Koenker, Quantile Regression. Cambridge University Press, 2005.
9. X. He, "Quantile curves without crossing," The American Statistician, vol. 51, no. 2, pp. 186-192, may 1997.
10. I. Takeuchi, Q. V. Le, T. Sears, and A. J. Smola, "Nonparametric quantile estimation," J. Mach. Learn. Res., vol. 7, 2006.
11. K. Yu and R. A. Moyeed, "Bayesian quantile regression," Statistics & Probability Letters, vol. 54, pp. 437-447, 2001.
12. J. Shim, C. Hwang, and K. H. Seok, "Non-crossing quantile regression via doubly penalized kernel machine," in Computational Statistics, vol. 24, 2009, pp. 83-94.