Research

Causal inference

• A. Chin, D. Eckles, and J. Ugander, Evaluating stochastic seeding strategies in networks, to appear, Management Science, January 2021. [arXiv] [code]

• A. Chin, Regression adjustments for estimating the global treatment effect in experiments with interference, Journal of Causal Inference, May 2019. [arXiv] [code]

• A. Chin, Central limit theorems via Stein’s method for randomized experiments under interference, arXiv, March 2019+.

Other publications

• A. Chin, Y. Chen, K. M. Altenburger, J. Ugander, Decoupled smoothing on graphs, Proceedings of the World Wide Web Conference (WWW), May 2019. [code]

• A. Chin, G. Gordon, K. MacPhee, C. Vincent, Subtrees of graphs, Journal of Graph Theory, May 2018.

• A. Chin, T. D. Goodrich, M. P. O’Brien, F. Reidl, B. D. Sullivan, A. van der Poel, Asymptotic analysis of equivalences and core-structures in Kronecker-style graph models, Proceedings of the International Conference of Data Mining (ICDM), December 2016.

• A. Chin, G. Gordon, K. MacPhee, C. Vincent, Pick a tree — any tree, The American Mathematical Monthly, May 2015.