no code implementations • 21 Mar 2024 • Joseph Moyalan, Sriram S. K. S Narayanan, Andrew Zheng, Umesh Vaidya
One of the main advantages of the proposed QP using CDF compared to QP formulated using CBF is that both the convergence/stability and safety can be combined and imposed using the CDF.
no code implementations • 4 May 2023 • Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
We formalize the problem of inference in such experiments as one of policy evaluation.
no code implementations • 6 Jun 2022 • Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
We consider experiments in dynamical systems where interventions on some experimental units impact other units through a limiting constraint (such as a limited inventory).
no code implementations • 14 Feb 2022 • Vivek Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng
This paper presents a new dynamic approach to experiment design in settings where, due to interference or other concerns, experimental units are coarse.
no code implementations • 11 Jun 2020 • Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
In a similar vein, our results imply that in the case of an SIR model, one cannot hope to predict the eventual number of infections until one is approximately two-thirds of the way to the time at which the infection rate has peaked.
1 code implementation • 18 Aug 2019 • Rahul Mazumder, Stephen Wright, Andrew Zheng
We consider a class of linear-programming based estimators in reconstructing a sparse signal from linear measurements.