Work in Progress

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

Publications and Preprints

• Permutation Inference under Multi-way Clustering and Missing Data
  W. Guo, Panos Toulis, Yuhao Wang
  submitted, 2025

• 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.
  R&R at Journal of the Royal Statistical Society Series B (JRSS-B).

• ML-assisted Randomization Tests for A/B Experiments
  W. Guo, JungHo Lee, Panos Toulis
  submitted, 2025.

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

• Reversible Gromov-Monge Sampler for Simulation-Based Inference
  YoonHaeng Hur, W. Guo, Tengyuan Liang
  SIAM Journal on Mathematics of Data Science (SIMODS), 2023.

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