Doubly Robust Policy Evaluation and Learning

A generalization of sampling without replacement from a finite universe

Horvitz, D. G. and Thompson, D. J · 1952

Earlier work this paper cites.

Some results on generalized difference estimation and generalized regression estimation for finite populations

Cassel, C. M., Särndal, C. E., and Wretman, J. H · 1976

Earlier work this paper cites.

Estimation of regression coefficients when some regressors are not always observed

Robins, J. M., Rotnitzky, A., and Zhao, L. P · 1994

Earlier work this paper cites.

Semiparametric efficiency in multivariate regression models with missing data

Robins, J. and Rotnitzky, A · 1995

Earlier work this paper cites.

The nonstochastic multiarmed bandit problem

Auer, P., Cesa-Bianchi, N., Freund, Y., and Schapire, R. E · 2002

Earlier work this paper cites.

Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study

Lunceford, J. K. and Davidian, M · 2004

Earlier work this paper cites.

UCI machine learning repository, 2007

Asuncion, A. and Newman, D. J · 2007

Earlier work this paper cites.

Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data

Kang, J. D. Y. and Schafer, J. L · 2007

Cited alongside, same era.

More bang for their bucks: assessing new features for online advertisers

Lambert, D. and Pregibon, D · 2007

Cited alongside, same era.

Multiclass classification with filter-trees

Beygelzimer, A., Langford, J., and Ravikumar, P · 2008

Cited alongside, same era.

Dataset shift in machine learning

Gretton, A., Smola, A. J., Huang, J., Schmittfull, M., Borgwardt, K., and Schölkopf, B · 2008

Cited alongside, same era.

The epoch-greedy algorithm for contextual multi-armed bandits

Langford, J. and Zhang, T · 2008

Cited alongside, same era.

Exploration scavenging

Langford, J., Strehl, A. L., and Wortman, J · 2008

Cited alongside, same era.

The offset tree for learning with partial labels

Beygelzimer, A. and Langford, J · 2009

Later among the works it cites.

The WEKA data mining software: An update

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H · 2009

Later among the works it cites.

Better algorithms for benign bandits

Hazan, E. and Kale, S · 2009

Later among the works it cites.

Evaluating online ad campaigns in a pipeline: causal models at scale

Chan, D., Ge, R., Gershony, O., Hesterberg, T., and Lambert, D · 2010

Later among the works it cites.

Direct loss minimization for structured prediction

McAllester, D., Hazan, T., and Keshet, J · 2011

Closest in time.

Learning from logged implicit exploration data

Strehl, A., Langford, J., Li, L., and Kakade, S · 2011

Closest in time.