Related work 23

• Liu, Y.^#, Liu, M.^#✉, Guo, Z. and Cai, Tianxi. (2026).
  Efficient Modeling of Surrogates to Improve Multi-source High-dimensional Integrative Regression.
  Journal of Machine Learning Research, to appear.

• *Guo, Z., Yuan W. and Zhang, C. (2026).
  Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models.
  Journal of Machine Learning Research, 27(27), 1-79.[Code]

• *Fan, Q., Guo, Z., and Mei, Z. (2025).
  A Heteroscedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates
  Journal of Business & Economic Statistics, 43(2), 413-422.

• Scheidegger, C., Guo, Z., and Bühlmann, P. (2025).
  Spectral deconfounding for high-dimensional sparse additive models
  ACM/IMS Journal of Data Science, 2(1), Article 1, 52 pages.

• Lin, Y., Guo, Z., Sun, B., and Lin, Z. (2025).
  Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
  Test, 34(3), 530-579.

• Rakshit, P., and Guo, Z. (2024).
  Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
  Technical Report

• Ma, R., Guo, Z., Cai, T. T., and Li, H. (2024).
  Statistical Inference of Genetic Relatedness using High-Dimensional Logistic Regression.
  Statistica Sinica, 34 (2): 1023-1043.

• Rakshit, P., Wang, Z., Cai, T. T., and Guo, Z. (2024).
  SIHR: An R Package for Statistical Inference in High-dimensional Linear and Logistic Regression Models.
  R Journal, 16(3), 27-45.

• *Fan, Q., Guo, Z., Mei, Z., and Zhang, C. (2023).
  Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity.
  Technical report

• *Cai, T., Guo, Z. and Xia, Y. (2023).
  Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
  Test (with discussion), 32(4), 1135-1171. [Code]

• Hou, J., Guo, Z., and Cai, T. (2023).
  Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.
  Journal of Machine Learning Research, 24(265), 1–58.

• * Cai, T. T., Guo, Z., and Ma, R. (2023).
  Statistical Inference for High-Dimensional Generalized Linear Models with Binary Outcomes.
  Journal of the American Statistical Association, 118 (542), 1319-1332. [Code]

• Guo, Z.^#✉, Ćevid, D.^#, and Bühlmann, P. (2022).
  Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding.
  Annals of Statistics, 50 (3), 1320 - 1347. [Code]

• Guo, Z. and Zhang, C. (2022).
  Extreme eigenvalues of nonlinear correlation matrices with applications to additive models.
  Stochastic Processes and Their Applications, 150, 1037-1058

• * Cai, T, Cai, T. T. and Guo, Z. (2021).
  Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models.
  Journal of the Royal Statistical Society: Series B, 2021, 83(4): 669-719. [Code]

• Guo, Z., Rakshit, P., Herman, D., and Chen, J. (2021).
  Inference for the Case Probability in High-dimensional Logistic Regression.
  Journal of Machine Learning Research, 22(254), 1-54 [Code]

• Guo, Z., Renaux, C., Bühlmann, P., and Cai, T. T. (2021).
  Group Inference in High Dimensions with Applications to Hierarchical Testing.
  Electronic Journal of Statistics, 15(2), 6633-6676. [Code]

• * Cai, T. T. and Guo, Z. (2020).
  Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications.
  Journal of the Royal Statistical Society: Series B, 82(2), 391-419. [Code]

• Guo, Z., Wang, W., Cai, T. T. and Li, H. (2019).
  Optimal Estimation of Genetic Relatedness in High-dimensional Linear Models.
  Journal of the American Statistical Association, 114(525), 358-369. [Code]

• Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2018).
  Testing Endogeneity with High Dimensional Covariates.
  The Journal of Econometrics, 207(1), 175-187. [Code]

• Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2018).
  Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting.
  Journal of the Royal Statistical Society: Series B, 80(4), 793-815. [Code]

• * Cai, T. T. and Guo, Z. (2018).
  Accuracy Assessment for High-dimensional Linear Regression.
  The Annals of Statistics, 46(4), 1807-1836.

• * Cai, T. T. and Guo, Z. (2017).
  Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity.
  The Annals of Statistics, 45(2), 615-646. [Code]