3 citations · 5 across the 4 of their papers we have counts for
4 papers
Inferring Human Intentions from Predicted Action Probabilities
Lei Shi, Paul-Christian Bürkner, Andreas Bulling
Predicting the next action that a human is most likely to perform is key to human-AI collaboration and has consequently attracted increasing research interests in recent years. An…
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Lei Shi, Jingshen Wang, Tianhao Wu
Multi armed bandit (MAB) algorithms have been increasingly used to complement or integrate with A/B tests and randomized clinical trials in e-commerce, healthcare, and policymaking…
Forward selection and post-selection inference in factorial designs
Lei Shi, Jingshen Wang, Peng Ding
Ever since the seminal work of R. A. Fisher and F. Yates, factorial designs have been an important experimental tool to simultaneously estimate the effects of multiple treatment fa…
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
Lei Shi, Peng Ding
Neyman (1923/1990) introduced the randomization model, which contains the notation of potential outcomes to define causal effects and a framework for large-sample inference based o…