Fetching the paper…
Reading the bibliography…
Statistical inference is often simplified by sample-splitting.
Approximate statistical tests for comparing supervised classification learning algorithms
Dietterich, T. G. (1998) · 1923
Earlier work this paper cites.
Large-sample theory of sequential estimation
Anscombe, F. J. (1952) · 1952
Earlier work this paper cites.
On the asymptotic distribution of the sum of a random number of independent random variables
Rényi, A. (1957) · 1957
Earlier work this paper cites.
On the asymptotic theory of fixed-width sequential confidence intervals for the mean
Chow, Y. S. and Robbins, H. (1965) · 1965
Earlier work this paper cites.
Bernstein’s inequality for martingales
Steiger, W. (1970) · 1970
Earlier work this paper cites.
Distribution function inequalities for martingales
Burkholder, D. L. (1973) · 1973
Earlier work this paper cites.
Cross-validatory choice and assessment of statistical predictions
Stone, M. (1974) · 1974
Earlier work this paper cites.
The exact approximation order in the central-limit-theorem for random summation
Landers, D. and Rogge, L. (1976) · 1976
Earlier work this paper cites.
Das maximale signifikanzniveau des tests:“lehne h o h_{o} ab, wenn k unter n gegebenen tests zur ablehnung führen”
Rüger, B. (1978) · 1978
Earlier work this paper cites.
On adaptive estimation
Bickel, P. J. (1982) · 1982
Earlier work this paper cites.
On asymptotically efficient estimation in semiparametric models
Schick, A. (1986) · 1986
Earlier work this paper cites.
Approximate computation of expectations
Stein, C. (1986) · 1986
Earlier work this paper cites.
Stochastic estimation and testing
Beran, R. and Millar, P. W. (1987) · 1987
Earlier work this paper cites.
Sharp orders of convergence in the random central limit theorem
Landers, D. and Rogge, L. (1988) · 1988
Earlier work this paper cites.
Linear model selection by cross-validation
Shao, J. (1993) · 1993
Earlier work this paper cites.
Randomized algorithms
Motwani, R. and Raghavan, P. (1995) · 1995
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · 1996
Earlier work this paper cites.
Weak convergence
Van Der Vaart, A. W. and Wellner, J. A. (1996) · 1996
Earlier work this paper cites.
Cross-validation with confidence
Lei, J. (2020) · 1997
Earlier work this paper cites.
Inference for the generalization error
Nadeau, C. and Bengio, Y. (1999) · 1999
Earlier work this paper cites.
Asymptotics for lasso-type estimators
Knight, K. and Fu, W. (2000) · 2000
Earlier work this paper cites.
Asymptotics of cross-validation
Austern, M. and Zhou, W. (2020) · 2001
Earlier work this paper cites.
Stability and generalization
Bousquet, O. and Elisseeff, A. (2002) · 2002
Earlier work this paper cites.
Concentration inequalities using the entropy method
Boucheron, S., Lugosi, G., and Massart, P. (2003) · 2003
Earlier work this paper cites.
Concentration inequalities with exchangeable pairs (Ph. D. thesis)
Chatterjee, S. (2005) · 2005
Earlier work this paper cites.
Stability of randomized learning algorithms
Elisseeff, A., Evgeniou, T., Pontil, M., and Kaelbing, L. P. (2005) · 2005
Earlier work this paper cites.
Stein’s method for concentration inequalities
Chatterjee, S. (2007) · 2007
Earlier work this paper cites.
Stopped random walks
Gut, A. (2009) · 2009
Earlier work this paper cites.
P-values for high-dimensional regression
Meinshausen, N., Meier, L., and Bühlmann, P. (2009) · 2009
Earlier work this paper cites.
A survey of cross-validation procedures for model selection
Arlot, S. and Celisse, A. (2010) · 2010
Earlier work this paper cites.
Concentration inequalities of the cross-validation estimate for stable predictors
Cornec, M. (2010) · 2010
Earlier work this paper cites.
Stability selection
Meinshausen, N. and Bühlmann, P. (2010) · 2010
Earlier work this paper cites.
Normal approximation by Stein’s method
Chen, L. H., Goldstein, L., and Shao, Q.-M. (2011) · 2011
Earlier work this paper cites.
Cross-validation and mean-square stability
Kale, S., Kumar, R., and Vassilvitskii, S. (2011) · 2011
Earlier work this paper cites.
Fundamentals of Stein’s method
Ross, N. (2011) · 2011
Earlier work this paper cites.
On the absolute constants in the berry-esseen type inequalities for identically distributed summands
Shevtsova, I. (2011) · 2011
Earlier work this paper cites.
Sparse models and methods for optimal instruments with an application to eminent domain
Belloni, A., Chen, D., Chernozhukov, V., and Hansen, C. (2012) · 2012
Earlier work this paper cites.
Near-optimal bounds for cross-validation via loss stability
Kumar, R., Lokshtanov, D., Vassilvitskii, S., and Vattani, A. (2013) · 2013
Cited alongside, same era.
Deriving matrix concentration inequalities from kernel couplings
Paulin, D., Mackey, L., and Tropp, J. A. (2013) · 2013
Cited alongside, same era.
Inference on treatment effects after selection among high-dimensional controls
Belloni, A., Chernozhukov, V., and Hansen, C. (2014) · 2014
Cited alongside, same era.
Statistical learning with sparsity: the lasso and generalizations
Hastie, T., Tibshirani, R., and Wainwright, M. (2015) · 2015
Cited alongside, same era.
The determinants of productivity in medical testing: Intensity and allocation of care
Abaluck, J., Agha, L., Kabrhel, C., Raja, A., and Venkatesh, A. (2016) · 2016
Cited alongside, same era.
The efficiency of race-neutral alternatives to race-based affirmative action: Evidence from chicago’s exam schools
Ellison, G. and Pathak, P. A. (2021) · 2021
Later among the works it cites.
Package ‘glmnet’
Friedman, J., Hastie, T., Tibshirani, R., Narasimhan, B., Tay, K., Simon, N., and Qian, J. (2021) · 2021
Later among the works it cites.
Does context outweigh individual characteristics in driving voting behavior? evidence from relocations within the united states
Cantoni, E. and Pons, V. (2022) · 2022
Later among the works it cites.
Debiased machine learning without sample-splitting for stable estimators
Chen, Q., Syrgkanis, V., and Austern, M. (2022) · 2022
Later among the works it cites.
Imperfect markets versus imperfect regulation in us electricity generation
Cicala, S. (2022) · 2022
Later among the works it cites.
Can you move to opportunity? evidence from the great migration
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Train faster, generalize better: Stability of stochastic gradient descent
Hardt, M., Recht, B., and Singer, Y. (2016) · 2016
Cited alongside, same era.
Efron-Stein inequalities for random matrices
Paulin, D., Mackey, L., and Tropp, J. A. (2016) · 2016
Cited alongside, same era.
Analysis of error control in large scale two-stage multiple hypothesis testing
Guo, W. and Romano, J. P. (2017) · 2017
Cited alongside, same era.
Markov chains and mixing times
Levin, D. A. and Peres, Y. (2017) · 2017
Cited alongside, same era.
ranger: A fast implementation of random forests for high dimensional data in C++ and R
Wright, M. N. and Ziegler, A. (2017) · 2017
Cited alongside, same era.
Double/debiased machine learning for treatment and structural parameters: Double/debiased machine learning
Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., and Robins, J. (2018) · 2018
Cited alongside, same era.
Transparency and deliberation within the fomc: A computational linguistics approach
Hansen, S., McMahon, M., and Prat, A. (2018) · 2018
Cited alongside, same era.
Derenoncourt, E. (2022) · 2022
Later among the works it cites.
General equilibrium effects of cash transfers: experimental evidence from kenya
Egger, D., Haushofer, J., Miguel, E., Niehaus, P., and Walker, M. (2022) · 2022
Later among the works it cites.
Targeting impact versus deprivation
Haushofer, J., Niehaus, P., Paramo, C., Miguel, E., and Walker, M. W. (2022) · 2022
Later among the works it cites.
Estimating spillovers from publicly funded r&d: Evidence from the us department of energy
Myers, K. R. and Lanahan, L. (2022) · 2022
Later among the works it cites.
Technology, taxation, and corruption: evidence from the introduction of electronic tax filing
Okunogbe, O. and Pouliquen, V. (2022) · 2022
Later among the works it cites.
A note on universal inference
Tse, T. and Davison, A. C. (2022) · 2022
Later among the works it cites.
Berry–esseen bounds for generalized u-statistics
Zhang, Z.-S. (2022) · 2022
Later among the works it cites.
Cross-validation: what does it estimate and how well does it do it?
Bates, S., Hastie, T., and Tibshirani, R. (2023) · 2023
Closest in time.
Selection into credit markets: Evidence from agriculture in mali
Beaman, L., Karlan, D., Thuysbaert, B., and Udry, C. (2023) · 2023
Closest in time.
Ai-tocracy
Beraja, M., Kao, A., Yang, D. Y., and Yuchtman, N. (2023) · 2023
Closest in time.
Chernozhukov, V., Demirer, M., Duflo, E., and Fernández-Val, I. (2023) · 2023
Closest in time.
Relinquishing riches: Auctions versus informal negotiations in texas oil and gas leasing
Covert, T. R. and Sweeney, R. L. (2023) · 2023
Closest in time.
Personalized pricing and consumer welfare
Dubé, J.-P. and Misra, S. (2023) · 2023
Closest in time.
Gaussian universal likelihood ratio testing
Dunn, R., Ramdas, A., Balakrishnan, S., and Wasserman, L. (2023) · 2023
Closest in time.
The mechanics of the industrial revolution
Kelly, M., Mokyr, J., and Ó Gráda, C. (2023) · 2023
Closest in time.
Game-theoretic statistics and safe anytime-valid inference
Ramdas, A., Grünwald, P., Vovk, V., and Shafer, G. (2023) · 2023
Closest in time.
Randomized and exchangeable improvements of markov’s, chebyshev’s and chernoff’s inequalities
Ramdas, A. and Manole, T. (2023) · 2023
Closest in time.
ddml: Double/debiased machine learning in stata
Ahrens, A., Hansen, C. B., Schaffer, M. E., and Wiemann, T. (2024) · 2024
Closest in time.
DoubleML: An object-oriented implementation of double machine learning in R
Bach, P., Kurz, M. S., Chernozhukov, V., Spindler, M., and Klaassen, S. (2024) · 2024
Closest in time.
Gang rule: Understanding and countering criminal governance
Blattman, C., Duncan, G., Lessing, B., and Tobón, S. (2024) · 2024
Closest in time.
Can information about jobs improve the effectiveness of vocational training? experimental evidence from india
Chakravorty, B., Arulampalam, W., Bhatiya, A. Y., Imbert, C., and Rathelot, R. (2024) · 2024
Closest in time.
Tuning parameter selection in econometrics
Chetverikov, D. (2024) · 2024
Closest in time.
Breaking gender barriers: Experimental evidence on men in pink-collar jobs
Delfino, A. (2024) · 2024
Closest in time.
Consumer protection in an online world: An analysis of occupational licensing
Farronato, C., Fradkin, A., Larsen, B. J., and Brynjolfsson, E. (2024) · 2024
Closest in time.
Which investors matter for equity valuations and expected returns?
Koijen, R. S., Richmond, R. J., and Yogo, M. (2024) · 2024
Closest in time.
Uniform inference for subsampled moment regression
Ritzwoller, D. M. and Syrgkanis, V. (2024) · 2024
Closest in time.
Information and bargaining through agents: Experimental evidence from mexico’s labour courts
Sadka, J., Seira, E., and Woodruff, C. (2024) · 2024
Closest in time.
Evaluating treatment prioritization rules via rank-weighted average treatment effects
Yadlowsky, S., Fleming, S., Shah, N., Brunskill, E., and Wager, S. (2024) · 2024
Closest in time.
Margins of multinational labor substitution
Muendler, M.-A. and Becker, S. O. (2010) · 2030
Closest in time.
Notching r&d investment with corporate income tax cuts in china
Chen, Z., Liu, Z., Suárez Serrato, J. C., and Xu, D. Y. (2021) · 2065
Closest in time.
Controlling the false discovery rate via knockoffs
Barber, R. F. and Candès, E. J. (2015) · 2085
Closest in time.