@inproceedings{ehrhen07b,
	abstract = {We study the one-dimensional root finding problem for increasing convex functions. We give gradient-free algorithms for both exact and inexact (stochastic) function evaluations. For the stochastic case, we supply a probabilistic convergence guarantee in the spirit of selection-of-the-best methods. A worst-case bound on the work performed by the algorithm shows an improvement over naive stochastic bisection.},
	address = {Piscataway, New Jersey},
	author = {S. M. T. Ehrlichman and S. G. Henderson},
	booktitle = {Proceedings of the 2007 Winter Simulation Conference},
	date-added = {2016-01-10 17:56:50 +0000},
	date-modified = {2016-01-10 17:56:50 +0000},
	editor = {S. G. Henderson and B. Biller and M.-H. Hsieh and J. Shortle and J. D. Tew and R. R. Barton},
	pages = {313--321},
	publisher = {IEEE},
	title = {Finite-sample performance guarantees for one-dimensional stochastic root finding},
	url_paper = {pubs/ehrlichmans16702i.pdf},
	year = {2007}}

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