Published in Princeton University Senior Theses, July 11, 2016
Abstract
Recommended citation: Chow, Evan. "PRICE, ANCHORING, & SUBSTITUTION IN THE MARKET FOR FINE ART AUCTIONS." (2016). https://dataspace.princeton.edu/handle/88435/dsp013b591c02f
Published in CODE@MIT: The 6th Annual Conference on Digital Experimentation @ MIT, November 02, 2019
Abstract
Recommended citation: Chow, Evan. ”Not All Phones Are Equal: Measuring Heterogeneous Performance in Online Controlled Experi- ments.” CODE 2019: Conference on Digital Experimentation (CODE), 2019, MIT. https://github.com/evnchw/evnchw.github.io/blob/master/files/chow_2019.pdf
Published in WSDM 2021: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, November 29, 2020
Abstract
Recommended citation: Xie, Yuxiang, et al. "How to measure your app: a couple of pitfalls and remedies in measuring app performance in online controlled experiments." Proceedings of the 14th ACM International Conference on Web Search and Data Mining. 2021. https://dl.acm.org/doi/abs/10.1145/3437963.3441742
Published in US Patent Office (#20230418735A1), December 28, 2023
Abstract
Recommended citation: P Le, HAO Minshen, ECY Chow, Z Liu - US Patent App. 18/243,486, 2023 https://patents.google.com/patent/US20230418735A1/en
June 23, 2024
This is a quick refresher on the basic formulation and ideas of Hamilton-Jacobi-Bellman (“HJB”) in optimal control, including dynamic programming for both deterministic and stochastic formulations.
July 23, 2024
These are my quick refresher notes on Fokker-Planck (forward Kolmogorov) for the evolution of a probability density over time, and how this appears in mean field game theory.
August 25, 2024
These are my informal notes on the master equation in mean field game theory, closely following the accessible sketch in Delarue (2021) with the same notation and supplemented when necessary.
Published:
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Industry, ADIA Lab, June 23, 2024
Under ADIA Lab, the scientific research institution of ADIA, I have supervised a number of short-term research projects in data science for various university programmes and departments, usually MSc-level capstones. Below is a running list: