Experimental Design

• Experimental Design When N Equals One
  W. Guo, Tengyuan Liang
  Major Revision at Biometrika, 2026.

• Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
  W. Guo, Tengyuan Liang, Panos Toulis
  ACM Conference on Economics and Computation (EC 2025), extended abstract.
  Journal of the Royal Statistical Society Series B, 2026.

Randomization Inference

• Permutation Inference under Multi-way Clustering and Missing Data
  W. Guo, Panos Toulis, Yuhao Wang
  Submitted, 2026.

• ML-assisted Randomization Tests for A/B Experiments
  W. Guo, JungHo Lee, Panos Toulis
  Advances in Neural Information Processing Systems (NeurIPS), 2026.

• Invariance-based Inference in High-Dimensional Regression with Finite-Sample Guarantees
  W. Guo, Panos Toulis
  R&R at Journal of the American Statistical Association.

Statistical Theory and Learning

• Statistics of the Shepp p-product
  W. Guo, Lek-Heng Lim
  Working paper.

• A Coupling Approach to Cost-Aware Online Portfolio Rebalancing
  W. Guo, Tengyuan Liang
  Working paper.

• Reversible Gromov-Monge Sampler for Simulation-Based Inference
  YoonHaeng Hur, W. Guo, Tengyuan Liang
  SIAM Journal on Mathematics of Data Science, 2024.

• Online Learning to Transport via the Minimal Selection Principle
  W. Guo, YoonHaeng Hur, Tengyuan Liang, Christopher Ryan
  Conference on Learning Theory, 2022.