Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2408.02060] Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection 2025-04-28T01:21:57+00:00 https://arxiv.org/abs/2408.02060 cshalizi to:NB model_selection cross-validation lei.jing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:656aa8135923/ [2309.03742] Efficient estimation and correction of selection-induced bias with order statistics 2023-09-21T16:54:53+00:00 https://arxiv.org/abs/2309.03742 cshalizi to:NB cross-validation model_selection https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c59c4b2c1dbf/ Cross-Validation: What Does It Estimate and How Well Does It Do It? 2023-06-08T15:37:53+00:00 https://doi.org/10.1080/01621459.2023.2197686 cshalizi cross-validation statistics tibshirani.robert hastie.trevor to_read to_teach in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:92e07da3433c/ Optimal Simulator Selection: Journal of the American Statistical Association: Vol 0, No 0 2022-06-11T04:51:08+00:00 https://www.tandfonline.com/doi/full/10.1080/01621459.2021.1987920 cshalizi cross-validation model_selection simulation-based_inference re:codename:catherine_wheel in_NB to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e2e4ed6ce1cc/ Choosing among Regularized Estimators in Empirical Economics: The Risk of Machine Learning | The Review of Economics and Statistics | MIT Press 2022-03-14T18:19:21+00:00 https://direct.mit.edu/rest/article-abstract/101/5/743/58556/Choosing-among-Regularized-Estimators-in-Empirical?redirectedFrom=fulltext cshalizi to:NB econometrics estimation statistics learning_theory to_teach:childs_garden_of_statistical_learning_theory re:HEAS downloaded cross-validation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:765356ad4562/ Consistent Estimation of Number of Communities in Stochastic Block Models using Cross‐Validation - Qin - - Stat - Wiley Online Library 2021-10-11T19:50:46+00:00 https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.426 cshalizi to:NB stochastic_block_models community_discovery cross-validation network_data_analysis kith_and_kin lei.jing heard_the_talk https://pinboard.in/ https://pinboard.in/u:cshalizi/b:23e1965abcdf/ On cross-validated Lasso in high dimensions 2021-08-09T16:26:22+00:00 https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-3/On-cross-validated-Lasso-in-high-dimensions/10.1214/20-AOS2000.short cshalizi to:NB cross-validation lasso sparsity high-dimensional_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:25ec0744b249/ [2105.04134] Bagging cross-validated bandwidth selection in nonparametric regression estimation with applications to large-sized samples 2021-05-12T18:15:40+00:00 https://arxiv.org/abs/2105.04134 cshalizi to:NB cross-validation ensemble_methods bootstrap to_teach:data-mining kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f2a3494ec6a3/ [2104.10471] On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems 2021-04-29T03:26:43+00:00 https://arxiv.org/abs/2104.10471 cshalizi to:NB model_selection regression cross-validation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0ff3608d5a6d/ [2104.04716] Analytic and Bootstrap-after-Cross-Validation Methods for Selecting Penalty Parameters of High-Dimensional M-Estimators 2021-04-13T04:01:37+00:00 https://arxiv.org/abs/2104.04716 cshalizi to:NB lasso bootstrap cross-validation model_selection https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1598c1a5531e/ [2007.12671] Cross-validation Confidence Intervals for Test Error 2021-04-02T23:56:49+00:00 https://arxiv.org/abs/2007.12671 cshalizi to:NB cross-validation statistics mackey.lester https://pinboard.in/ https://pinboard.in/u:cshalizi/b:761b6895974d/ [2104.00673] Cross-validation: what does it estimate and how well does it do it? 2021-04-02T23:55:01+00:00 https://arxiv.org/abs/2104.00673 cshalizi to:NB cross-validation statistics tibshirani.robert hastie.trevor https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2b9468b20416/ [2103.01356] Statistical learning and cross-validation for point processes 2021-03-03T04:34:11+00:00 https://arxiv.org/abs/2103.01356 cshalizi to:NB cross-validation point_processes https://pinboard.in/ https://pinboard.in/u:cshalizi/b:479c6df000d8/ Stable Regression: On the Power of Optimization over Randomization 2020-12-21T04:34:21+00:00 https://jmlr.org/papers/v21/19-408.html cshalizi to:NB color_me_skeptical statistics regression cross-validation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3238ba3eba5c/ [2006.12669] Approximate Cross-Validation for Structured Models 2020-12-02T15:24:55+00:00 https://arxiv.org/abs/2006.12669 cshalizi to:NB cross-validation to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:955fea15756f/ [1912.06686] Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression 2020-11-27T05:58:25+00:00 https://arxiv.org/abs/1912.06686 cshalizi to:NB depression prediction cross-validation to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c005dae639c6/ Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics: Journal of the American Statistical Association: Vol 0, No 0 2019-10-22T13:30:52+00:00 https://www.tandfonline.com/doi/full/10.1080/01621459.2019.1668794 cshalizi to:NB cross-validation statistics prediction van_der_laan.mark https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1cae5c409ffc/ [1905.13657] Approximate Cross-Validation in High Dimensions with Guarantees 2019-10-22T13:19:50+00:00 https://arxiv.org/abs/1905.13657 cshalizi to:NB cross-validation sparsity high-dimensional_statistics computational_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6d0b824228ec/ [1910.08904] $hv$-Block Cross Validation is not a BIBD: a Note on the Paper by Jeff Racine (2000) 2019-10-22T13:13:32+00:00 https://arxiv.org/abs/1910.08904 cshalizi to:NB cross-validation time_series statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9f7ec608f103/ [1909.06539] Not again! Data Leakage in Digital Pathology 2019-10-01T17:12:30+00:00 https://arxiv.org/abs/1909.06539 cshalizi to:NB cross-validation statistics bad_data_analysis to_teach:undergrad-ADA to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:55f36f7dc31d/ Estimating the Number of Clusters Using Cross-Validation: Journal of Computational and Graphical Statistics: Vol 0, No 0 2019-10-01T16:20:36+00:00 https://www.tandfonline.com/doi/full/10.1080/10618600.2019.1647846 cshalizi to:NB cross-validation clustering k-means statistics perry.patrick_o. to_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:da89de164589/ [1909.04890] Aggregated Hold-Out 2019-09-15T14:44:49+00:00 https://arxiv.org/abs/1909.04890 cshalizi to:NB cross-validation model_selection statistics arlot.sylvain to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:09021f6ec87d/ [1909.05495] Optimal choice of $k$ for $k$-nearest neighbor regression 2019-09-13T13:06:17+00:00 https://arxiv.org/abs/1909.05495 cshalizi regression nearest_neighbors statistics cross-validation to_teach:data-mining have_skimmed in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:615c7919c631/ [1909.05299] Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data 2019-09-13T12:45:35+00:00 https://arxiv.org/abs/1909.05299 cshalizi cross-validation causal_inference statistics model_selection have_skimmed in_NB my_initial_skeptical_coloration_became_on_examination_a_permanent_stain https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6709abaac1e9/ [1908.08741] A relation between log-likelihood and cross-validation log-scores 2019-08-27T00:05:10+00:00 https://arxiv.org/abs/1908.08741 cshalizi statistics likelihood cross-validation have_read not_worth_putting_in_notebooks my_initial_skeptical_coloration_became_on_examination_a_permanent_stain https://pinboard.in/ https://pinboard.in/u:cshalizi/b:61ed55a054fe/ [1908.05873] Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE) 2019-08-19T13:18:33+00:00 https://arxiv.org/abs/1908.05873 cshalizi to:NB cross-validation exponential_family_random_graphs network_data_analysis statistics re:your_favorite_ergm_sucks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:98a560c44e30/ [1605.02214] On cross-validated Lasso 2019-08-14T19:18:18+00:00 https://arxiv.org/abs/1605.02214 cshalizi to:NB cross-validation lasso regression statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ad3ed7b1828c/ [1908.00882] Population Predictive Checks 2019-08-05T12:47:41+00:00 https://arxiv.org/abs/1908.00882 cshalizi to:NB model_checking bayesianism statistics blei.david re:phil-of-bayes_paper to_read cross-validation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:221ff74c92f3/ [1907.13413] A Leisurely Look at Versions and Variants of the Cross Validation Estimator 2019-08-02T15:22:15+00:00 https://arxiv.org/abs/1907.13413 cshalizi to:NB cross-validation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c68d178c4c01/ [1908.00325] Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance 2019-08-02T13:24:38+00:00 https://arxiv.org/abs/1908.00325 cshalizi to:NB cross-validation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1fb8912d459f/ [1907.12116] A Higher-Order Swiss Army Infinitesimal Jackknife 2019-07-30T17:29:21+00:00 https://arxiv.org/abs/1907.12116 cshalizi to:NB cross-validation bootstrap jackknife statistics jordan.michael_i. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:173b851e114d/ [1907.01670] Double Cross Validation for the Number of Factors in Approximate Factor Models 2019-07-17T20:59:09+00:00 https://arxiv.org/abs/1907.01670 cshalizi cross-validation factor_analysis model_selection statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:91e91308038b/ [1905.12580] Model Similarity Mitigates Test Set Overuse 2019-05-30T16:18:41+00:00 https://arxiv.org/abs/1905.12580 cshalizi to:NB learning_theory cross-validation to_read recht.benjamin to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:02279344de6f/ [1811.00645] The Holdout Randomization Test: Principled and Easy Black Box Feature Selection 2019-05-30T16:04:56+00:00 https://arxiv.org/abs/1811.00645 cshalizi cross-validation variable_selection statistics blei.david have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e4ed13c6dd3c/ [1905.11744] Evaluating time series forecasting models: An empirical study on performance estimation methods 2019-05-29T20:01:03+00:00 https://arxiv.org/abs/1905.11744 cshalizi to:NB time_series prediction cross-validation model_selection re:XV_for_mixing statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ed717cceb1c1/ Richter , Dahlhaus : Cross validation for locally stationary processes 2019-05-26T22:29:21+00:00 https://projecteuclid.org/euclid.aos/1558512018 cshalizi to:NB cross-validation nonparametrics statistics non-stationarity re:XV_for_mixing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:40c83ead576d/ [1904.02438] Cross-Validation for Correlated Data 2019-04-08T21:50:30+00:00 https://arxiv.org/abs/1904.02438 cshalizi to:NB statistics cross-validation time_series rosset.saharon to_teach:undergrad-ADA to_teach:data_over_space_and_time have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bb3ea15ebfce/ [1902.06281] Approximate leave-future-out cross-validation for time series models 2019-02-21T17:07:40+00:00 https://arxiv.org/abs/1902.06281 cshalizi to:NB time_series cross-validation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:02ecca66b9f7/ How Much Should We Trust Ideal Point Estmates from Surveys? 2017-10-13T16:49:49+00:00 https://web.stanford.edu/~wpmarble/docs/MarbleTyler_SurveyIdealPointsAPSA.pdf cshalizi to:NB public_opinion inference_to_latent_objects statistics have_read via:henry_farrell cross-validation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:73bdf76bb169/ [1705.07349] $left( beta, varpi right)$-stability for cross-validation and the choice of the number of folds 2017-08-19T23:50:53+00:00 https://arxiv.org/abs/1705.07349 cshalizi to:NB to_read cross-validation stability_of_learning model_selection statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bef52a741048/ Block-Regularized m × 2 Cross-Validated Estimator of the Generalization Error | Neural Computation | MIT Press Journals 2017-01-25T15:03:06+00:00 http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00923 cshalizito:NB cross-validation statistics re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f08cdd59d111/ Modeling homophily and stochastic equivalence in symmetric relational data 2016-05-10T17:44:22+00:00 http://papers.nips.cc/paper/3294-modeling-homophily-and-stochastic-equivalence-in-symmetric-relational-data cshalizi network_data_analysis re:network_differences statistics hoff.peter community_discovery inference_to_latent_objects cross-validation re:XV_for_networks have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2af1af617696/ [1502.04585] The Ladder: A Reliable Leaderboard for Machine Learning Competitions 2016-04-25T16:58:57+00:00 http://arxiv.org/abs/1502.04585 cshalizi learning_theory cross-validation have_read via:arthegall https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b2bafec2bfe3/ [1504.01132] Recursive Partitioning for Heterogeneous Causal Effects 2016-03-28T01:02:49+00:00 http://arxiv.org/abs/1504.01132 cshalizi to:NB decision_trees regression causal_inference cross-validation statistics athey.susan imbens.guido_w. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fe6061dfaa75/ The NSA’s SKYNET program may be killing thousands of innocent people | Ars Technica UK 2016-02-16T17:56:29+00:00 http://arstechnica.co.uk/security/2016/02/the-nsas-skynet-program-may-be-killing-thousands-of-innocent-people/ cshalizi the_continuing_crises national_surveillance_state machine_learning classifiers cross-validation bad_data_analysis terrorism_fears drones decision_trees ensemble_methods to_teach:data-mining to:blog random_forests https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1248c0c8cf03/ [1602.01522] Risk estimation for high-dimensional lasso regression 2016-02-09T02:46:56+00:00 http://arxiv.org/abs/1602.01522 cshalizi to:NB cross-validation lasso statistics high-dimensional_statistics regression information_criteria kith_and_kin mcdonald.daniel homrighausen.darren https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bbaae37c2aa3/ A Predictive Approach to Model Selection - Journal of the American Statistical Association - Volume 74, Issue 365 2015-11-08T19:15:43+00:00 http://www.tandfonline.com/doi/abs/10.1080/01621459.1979.10481632 cshalizi in_NB have_read prediction model_selection statistics cross-validation geisser.seymour eddy.william_f. kith_and_kin https://pinboard.in/ https://pinboard.in/u:cshalizi/b:31738bd3baa2/ [1507.00066] Fast Cross-Validation for Incremental Learning 2015-08-05T16:47:21+00:00 http://arxiv.org/abs/1507.00066 cshalizi to:NB cross-validation computational_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c4906556b0b4/ [1503.03515] Bi-cross-validation for factor analysis 2015-05-21T14:17:47+00:00 http://arxiv.org/abs/1503.03515 cshalizi model_selection factor_analysis cross-validation owen.art statistics re:ADAfaEPoV in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:15784b4d07b6/ [1411.1469] A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models 2015-01-22T00:26:49+00:00 http://arxiv.org/abs/1411.1469 cshalizi community_discovery cross-validation network_data_analysis statistics lei.jing in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3de2c784a3cd/ [1405.6974] Futility Analysis in the Cross-Validation of Machine Learning Models 2015-01-20T00:04:23+00:00 http://arxiv.org/abs/1405.6974 cshalizi to:NB model_selection cross-validation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9a30c602916f/ [1411.1715] Network Cross-Validation for Determining the Number of Communities in Network Data 2014-12-01T22:19:45+00:00 http://arxiv.org/abs/1411.1715 cshalizi cross-validation community_discovery network_data_analysis statistics kith_and_kin lei.jing re:XV_for_networks in_NB to:blog have_read to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:80e907153178/ Evaluating link prediction methods - Online First - Springer 2014-10-09T13:24:21+00:00 http://link.springer.com/article/10.1007/s10115-014-0789-0 cshalizi to:NB network_data_analysis statistics cross-validation link_prediction re:XV_for_networks to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f9bb0e5505a2/ [1403.4544] On the Sensitivity of the Lasso to the Number of Predictor Variables 2014-03-21T15:52:20+00:00 http://arxiv.org/abs/1403.4544 cshalizi lasso regression variable_selection high-dimensional_statistics cross-validation statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c0b013c52c01/ Kim , Huo : Asymptotic optimality of a multivariate version of the generalized cross validation in adaptive smoothing splines 2014-02-20T01:05:33+00:00 http://projecteuclid.org/euclid.ejs/1392215030 cshalizi splines smoothing nonparametrics cross-validation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a1c2eca5acc1/ [1309.2068] Modified Cross-Validation for Penalized High-Dimensional Linear Regression Models 2013-09-10T18:24:51+00:00 http://arxiv.org/abs/1309.2068 cshalizi cross-validation lasso regression statistics high-dimensional_statistics variable_selection in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:809b6dd19675/ Cross-Validatory Choice and Assessment of Statistical Predictions 2013-08-13T20:12:22+00:00 http://www.jstor.org/stable/2984809 cshalizi have_read cross-validation statistics prediction re:XV_for_mixing re:XV_for_networks re:stacs to_teach:undergrad-ADA in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:31be6815120e/ "Subsemble: An Ensemble Method for Combining Subset-Specific Algorithm " by Stephanie Sapp, Mark J. van der Laan et al. 2013-05-26T14:38:18+00:00 http://biostats.bepress.com/ucbbiostat/paper313/ cshalizi ensemble_methods prediction cross-validation van_der_laan.mark machine_learning statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:49b81e700246/ The perils of policy by p-value: Predicting civil conflicts 2013-05-25T14:31:48+00:00 http://jpr.sagepub.com/content/47/4/363 cshalizi social_science_methodology p-values hypothesis_testing statistics prediction political_science violence to_teach:undergrad-ADA via:abumuqawama have_read cross-validation to_teach:data-mining logistic_regression in_NB to:blog have_taught https://pinboard.in/ https://pinboard.in/u:cshalizi/b:28d2152d54d5/ "Cross-Validation for Nonlinear Mixed Effects Models" by Emily Colby and Eric Bair 2013-03-15T21:57:23+00:00 http://biostats.bepress.com/uncbiostat/art35/ cshalizi cross-validation regression statistics model_selection hierarchical_statistical_models in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:897ca4263e69/ [1303.3128] Estimation Stability with Cross Validation (ESCV) 2013-03-14T16:42:40+00:00 http://arxiv.org/abs/1303.3128 cshalizi to_read cross-validation stability_of_learning statistics yu.bin model_selection in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:183ea9caceaf/ russpoldrack.org: The perils of leave-one-out crossvalidation for individual difference analyses 2012-12-17T13:13:19+00:00 http://www.russpoldrack.org/2012/12/the-perils-of-leave-one-out.html cshalizicross-validation regression fmri to_teach:undergrad-ADA to_teach:data-mining poldrack.russell https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fcb238b8ca66/ [1212.1780] An Empirical Comparison of V-fold Penalisation and Cross Validation for Model Selection in Distribution-Free Regression 2012-12-14T02:06:44+00:00 http://arxiv.org/abs/1212.1780 cshalizi cross-validation model_selection regression nonparametrics to_teach:undergrad-ADA in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c94f8413fdea/ [1210.6187] Kriging-based sequential design strategies using fast cross-validation techniques with extensions to multi-fidelity computer codes 2012-10-26T13:04:25+00:00 http://arxiv.org/abs/1210.6187 cshalizi smoothing statistics simulation cross-validation spatial_statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a7d7d1eb2de1/ [1210.5830] $V$-fold cross-validation and $V$-fold penalization in least-squares density estimation 2012-10-25T16:20:48+00:00 http://arxiv.org/abs/1210.5830 cshalizi cross-validation statistics density_estimation to_read arlot.sylvain in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8af133553736/ Lecué , Mitchell : Oracle inequalities for cross-validation type procedures 2012-10-04T14:47:25+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1349355603 cshalizi cross-validation statistics re:XV_for_mixing re:XV_for_networks have_read empirical_processes in_NB lasso ensemble_methods https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a711e9e5dfa3/ [1206.6128] Cross-validation is risk consistent for lasso under orthogonal design 2012-06-28T13:08:34+00:00 http://arxiv.org/abs/1206.6128 cshalizi have_read kith_and_kin lasso regression statistics cross-validation mcdonald.daniel homrighausen.darren in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8c73ee48bab1/ Performance Analysis and Error Estimation — GSP Lab 2012-06-23T21:37:49+00:00 http://gsp.tamu.edu/Publications/journal-publications/performance-analysis-and-error-estimation cshalizitrack_down_references cross-validation statistics machine_learning model_selection to_teach:data-mining to_teach:undergrad-ADA https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8c125ecfb061/ On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk Minimizers 2012-06-12T22:05:38+00:00 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6172585 cshalizi learning_theory stability_of_learning cross-validation vc-dimension in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:713ee6523cf9/ [1206.2248] Fast Cross-Validation via Sequential Testing 2012-06-12T14:09:59+00:00 http://arxiv.org/abs/1206.2248 cshalizi to_read cross-validation computational_statistics statistics to_teach:data-mining to_teach:undergrad-ADA model_checking in_NB https://pinboard.in/ 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