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pro vyhledávání: '"Henderson, Shane G."'
Motivated by applications in emergency response and experimental design, we consider smooth stochastic optimization problems over probability measures supported on compact subsets of the Euclidean space. With the influence function as the variational
Externí odkaz:
http://arxiv.org/abs/2407.00307
During the COVID-19 pandemic, safely implementing in-person indoor instruction was a high priority for universities nationwide. To support this effort at the University, we developed a mathematical model for estimating the risk of SARS-CoV-2 transmis
Externí odkaz:
http://arxiv.org/abs/2310.04563
Autor:
Henderson, Shane G., Meyn, Sean P.
We use simulation to estimate the steady-state performance of a stable multiclass queueing network. Standard estimators have been seen to perform poorly when the network is heavily loaded. We introduce two new simulation estimators. The first provide
Externí odkaz:
http://arxiv.org/abs/2005.14179
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We empirically evaluate the finite-time performance of several simulation-optimization algorithms on a testbed of problems with the goal of motivating further development of algorithms with strong finite-time performance. We investigate if the observ
Externí odkaz:
http://arxiv.org/abs/1705.07825
Autor:
Jian, Nanjing, Henderson, Shane G.
Consider a real-valued function that can only be observed with stochastic noise at a finite set of design points within a Euclidean space. We wish to determine whether there exists a convex function that goes through the true function values at the d
Externí odkaz:
http://arxiv.org/abs/1703.04185
We analyze the problem of learning a single user's preferences in an active learning setting, sequentially and adaptively querying the user over a finite time horizon. Learning is conducted via choice-based queries, where the user selects her preferr
Externí odkaz:
http://arxiv.org/abs/1702.07694
The probabilistic bisection algorithm (PBA) solves a class of stochastic root-finding problems in one dimension by successively updating a prior belief on the location of the root based on noisy responses to queries at chosen points. The responses in
Externí odkaz:
http://arxiv.org/abs/1612.03964
The growing popularity of bike-sharing systems around the world has motivated recent attention to models and algorithms for their effective operation. Most of this literature focuses on their daily operation for managing asymmetric demand. In this wo
Externí odkaz:
http://arxiv.org/abs/1611.09304
Akademický článek
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