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of 278
pro vyhledávání: '"Yang, Alan"'
Optimizing the correlation properties of spreading codes is critical for minimizing inter-channel interference in satellite navigation systems. By improving the codes' correlation sidelobes, we can enhance navigation performance while minimizing the
Externí odkaz:
http://arxiv.org/abs/2404.12629
Autor:
Yang, Alan, Boyd, Stephen
We propose a method for designing policies for convex stochastic control problems characterized by random linear dynamics and convex stage cost. We consider policies that employ quadratic approximate value functions as a substitute for the true value
Externí odkaz:
http://arxiv.org/abs/2307.07086
Finding sets of binary sequences with low auto- and cross-correlation properties is a hard combinatorial optimization problem with numerous applications, including multiple-input-multiple-output (MIMO) radar and global navigation satellite systems (G
Externí odkaz:
http://arxiv.org/abs/2211.00285
This paper proposes a class of neural ordinary differential equations parametrized by provably input-to-state stable continuous-time recurrent neural networks. The model dynamics are defined by construction to be input-to-state stable (ISS) with resp
Externí odkaz:
http://arxiv.org/abs/2202.06453
We consider the task of identifying and estimating the causal effect of a treatment variable on a long-term outcome variable using data from an observational domain and an experimental domain. The observational domain is subject to unobserved confoun
Externí odkaz:
http://arxiv.org/abs/2201.10743
Publikováno v:
In International Journal of Information Management August 2024 77
Proximal causal inference was recently proposed as a framework to identify causal effects from observational data in the presence of hidden confounders for which proxies are available. In this paper, we extend the proximal causal inference approach t
Externí odkaz:
http://arxiv.org/abs/2111.02927
Autor:
Alarid-Escudero, Fernando, Krijkamp, Eline M., Enns, Eva A., Yang, Alan, Hunink, M. G. Myriam, Pechlivanoglou, Petros, Jalal, Hawre
Publikováno v:
Medical Decision Making, 2022
In an introductory tutorial, we illustrated building cohort state-transition models (cSTMs) in R, where the state transitions probabilities were constant over time. However, in practice, many cSTMs require transitions, rewards, or both to vary over t
Externí odkaz:
http://arxiv.org/abs/2108.13552
Publikováno v:
In Technovation April 2024 132
Autor:
Alarid-Escudero, Fernando, Krijkamp, Eline M., Enns, Eva A., Yang, Alan, Hunink, M. G. Myriam, Pechlivanoglou, Petros, Jalal, Hawre
Publikováno v:
Medical Decision Making, 2022
Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-transition model (cSTM) is a decision model commonly used in medical decisi
Externí odkaz:
http://arxiv.org/abs/2001.07824