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Conformal prediction has been a very popular method of distribution-free predictive inference in recent years in machine learning and statistics.
Vovk, V. (2020) · 1906
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Distributional conformal prediction
Chernozhukov, V., Wüthrich, K., and Zhu, Y. (2019) · 1909
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Nested conformal prediction and quantile out-of-bag ensemble methods
Gupta, C., Kuchibhotla, A. K., and Ramdas, A. K. (2021) · 1910
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Flexible distribution-free conditional predictive bands using density estimators
Izbicki, R., Shimizu, G. T., and Stern, R. B. (2019) · 1910
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Funzione caratteristica di un fenomeno aleatorio
De Finetti, B. (1929) · 1928
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Individual comparisons by ranking methods
Wilcoxon, F. (1945) · 1945
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Symmetric measures on cartesian products
Hewitt, E. and Savage, L. J. (1955) · 1955
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On measures of dependence
Rényi, A. (1959) · 1959
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Selecting economic hypotheses by goodness of fit
Mayer, T. (1975) · 1975
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Exchangeability and related topics
Aldous, D. J. (1985) · 1983
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Estimating optimal transformations for multiple regression and correlation
Breiman, L. and Friedman, J. H. (1985) · 1985
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A probabilistic model for testing hypothesized hierarchical market structures
Grover, R. and Dillon, W. R. (1985) · 1985
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De Finetti-type theorems: an analytical approach
Ressel, P. (1985) · 1985
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A field study of causal inferences and consumer reaction: the view from the airport
Folkes, V. S., Koletsky, S., and Graham, J. L. (1987) · 1987
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Linear transformations that preserve majorization, schur concavity, and exchangeability
Dean, A. and Verducci, J. (1990) · 1990
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Computing and graphing highest density regions
Hyndman, R. J. (1996) · 1996
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Nonparametric methods for multivariate analysis using statistically equivalent blocks
Matthews, K. E. and Taylor, M. S. (1996) · 1996
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Middle childhood antecedents to progressions in male adolescent substance use: An ecological analysis of risk and protection
Dishion, T. J., Capaldi, D. M., and Yoerger, K. (1999) · 1999
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Between intention and behavior: an application of community pharmacists’ assessment of pharmaceutical care
Farris, K. B. and Schopflocher, D. P. (1999) · 1999
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A global geometric framework for nonlinear dimensionality reduction
Tenenbaum, J. B., De Silva, V., and Langford, J. C. (2000) · 2000
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Inductive confidence machines for regression
Papadopoulos, H., Proedrou, K., Vovk, V., and Gammerman, A. (2002) · 2002
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Transformations which preserve exchangeability and application to permutation tests
Commenges, D. (2003) · 2003
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A test statistic in the complex wishart distribution and its application to change detection in polarimetric sar data
Conradsen, K., Nielsen, A. A., Schou, J., and Skriver, H. (2003) · 2003
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On multivariate goodness–of–fit and two–sample testing
Friedman, J. H. (2003) · 2003
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Global versus local methods in nonlinear dimensionality reduction
Silva, V. D. and Tenenbaum, J. B. (2003) · 2003
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Testing quasi-independence of failure and truncation times via conditional Kendall’s tau
Martin, E. C. and Betensky, R. A. (2005) · 2005
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Algorithmic learning in a random world
Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
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Reducing the dimensionality of data with neural networks
Hinton, G. E. and Salakhutdinov, R. R. (2006) · 2006
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Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candès, E. J. (2020) · 2006
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k-means++: the advantages of careful seeding, p 1027–1035
Arthur, D. and Vassilvitskii, S. (2007) · 2007
Cited alongside, same era.
Dimension reduction
Cunningham, P. (2008) · 2008
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A tutorial on conformal prediction
Shafer, G. and Vovk, V. (2008) · 2008
Cited alongside, same era.
NP-hardness of euclidean sum-of-squares clustering
Aloise, D., Deshpande, A., Hansen, P., and Popat, P. (2009) · 2009
Cited alongside, same era.
Auc optimization and the two-sample problem
Vayatis, N., Depecker, M., and Clémençcon, S. (2009) · 2009
Cited alongside, same era.
Making k-means even faster
Hamerly, G. (2010) · 2010
Cited alongside, same era.
A versatile gene-based test for genome-wide association studies
Compressed k-means for large-scale clustering
Shen, X., Liu, W., Tsang, I., Shen, F., and Sun, Q.-S. (2017) · 2017
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Clustering
Wasserman, L. and Tibshirani, R. J. (2017) · 2017
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A survey of dimensionality reduction techniques based on random projection
Xie, H., Li, J., and Xue, H. (2017) · 2017
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Discretized conformal prediction for efficient distribution-free inference
Chen, W., Chun, K.-J., and Barber, R. F. (2018) · 2018
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Exact and robust conformal inference methods for predictive machine learning with dependent data
Chernozhukov, V., Wüthrich, K., and Yinchu, Z. (2018) · 2018
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Distribution-free predictive inference for regression
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Liu, J. Z., Mcrae, A. F., Nyholt, D. R., Medland, S. E., Wray, N. R., Brown, K. M., Hayward, N. K., Montgomery, G. W., Visscher, P. M., and Martin, N. G. (2010) · 2010
Cited alongside, same era.
Theory of statistics
Schervish, M. J. (2012) · 2012
Cited alongside, same era.
A comparative study of efficient initialization methods for the k-means clustering algorithm
Celebi, M. E., Kingravi, H. A., and Vela, P. A. (2013) · 2013
Cited alongside, same era.
Nonparametric statistical methods
Hollander, M., Wolfe, D. A., and Chicken, E. (2013) · 2013
Cited alongside, same era.
Distribution-free prediction sets
Lei, J., Robins, J., and Wasserman, L. (2013) · 2013
Cited alongside, same era.
Efficient estimation in sufficient dimension reduction
Ma, Y. and Zhu, L. (2013) · 2013
Cited alongside, same era.
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2018) · 2018
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Asymptotic properties of rank tests of symmetry under discrete distributions
Vorlickova, D. (1972) · 2018
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A general asymptotic framework for distribution-free graph-based two-sample tests
Bhattacharya, B. B. (2019) · 2019
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The limits of distribution-free conditional predictive inference
Foygel Barber, R., Candès, E. J., Ramdas, A., and Tibshirani, R. J. (2019) · 2019
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Uniform convergence rate of the kernel density estimator adaptive to intrinsic volume dimension
Kim, J., Shin, J., Rinaldo, A., and Wasserman, L. (2019) · 2019
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Fast exact conformalization of the lasso using piecewise linear homotopy
Lei, J. (2019) · 2019
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Computing full conformal prediction set with approximate homotopy
Ndiaye, E. and Takeuchi, I. (2019) · 2019
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Ten quick tips for effective dimensionality reduction
Nguyen, L. H. and Holmes, S. (2019) · 2019
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Conformalized quantile regression
Romano, Y., Patterson, E., and Candes, E. (2019) · 2019
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Combining p-values via averaging
Vovk, V. and Wang, R. (2019) · 2019
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Nonparametric density estimation for high-dimensional data—algorithms and applications
Wang, Z. and Scott, D. W. (2019) · 2019
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Asymptotic distribution and detection thresholds for two-sample tests based on geometric graphs
Bhattacharya, B. B. (2020) · 2020
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Nearest neighbor based conformal prediction
Györfi, L. and Walk, H. (2020) · 2020
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Predictive inference is free with the jackknife+-after-bootstrap
Kim, B., Xu, C., and Foygel Barber, R. (2020) · 2020
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Adaptive, distribution-free prediction intervals for deep networks
Kivaranovic, D., Johnson, K. D., and Leeb, H. (2020) · 2020
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A comparison of some conformal quantile regression methods
Sesia, M. and Candès, E. J. (2020) · 2020
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Distribution-free consistent independence tests via center-outward ranks and signs
Shi, H., Drton, M., and Han, F. (2020) · 2020
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Predictive inference with the jackknife+
Barber, R. F., Candes, E. J., Ramdas, A., and Tibshirani, R. J. (2021) · 2021
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Distribution-free, risk-controlling prediction sets
Bates, S., Angelopoulos, A., Lei, L., Malik, J., and Jordan, M. I. (2021) · 2021
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Multivariate rank-based distribution-free nonparametric testing using measure transportation
Deb, N. and Sen, B. (2021) · 2021
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Nested conformal prediction sets for classification with applications to probation data
Kuchibhotla, A. K. and Berk, R. A. (2021) · 2021
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Multi split conformal prediction
Solari, A. and Djordjilović, V. (2021) · 2021
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Finite-sample efficient conformal prediction
Yang, Y. and Kuchibhotla, A. K. (2021) · 2021
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