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Zijian Guo

Selected Talks

Uncertainty Quantification for High-dimensional Models

  • Inference for Linear Functionals in High-dimensional Linear Models (Slides)

  • Statistical Inference for High-dimensional Logistic Regression (Slides)

  • Inference for Non-linear Effects in High-dimensional Additive Models (Slides)

  • Optimal Estimation of Co-Heritability in High-Dimensional Linear Models (Slides)

  • Accuracy Assessment for High-dimensional Linear Regression (Slides)

  • Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications (Slides)

Causal Inference

  • Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding (Slides)

  • Robust Deconfounding with Instrumental Variables (Slides)

  • Causal Inference with Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning (Slides, Video)

  • Inference for Non-linear Treatment Effects with Control Function Methods (Slides)

Multi-source Learning

  • Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies (Slides, Video)

  • Robust Inference for Federated Meta-Learning (Slides)