Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Lobel, Ilan"'
Marketplace companies rely heavily on experimentation when making changes to the design or operation of their platforms. The workhorse of experimentation is the randomized controlled trial (RCT), or A/B test, in which users are randomly assigned to t
Externí odkaz:
http://arxiv.org/abs/2205.02274
We study the problems of offline and online contextual optimization with feedback information, where instead of observing the loss, we observe, after-the-fact, the optimal action an oracle with full knowledge of the objective function would have take
Externí odkaz:
http://arxiv.org/abs/2106.14015
Akademický článek
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Akademický článek
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We consider a multidimensional search problem that is motivated by questions in contextual decision-making, such as dynamic pricing and personalized medicine. Nature selects a state from a $d$-dimensional unit ball and then generates a sequence of $d
Externí odkaz:
http://arxiv.org/abs/1611.00829
Autor:
Lobel, Ilan
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Sp
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Sp
Externí odkaz:
http://hdl.handle.net/1721.1/54232
Autor:
Kanoria, Yash1 (AUTHOR) ykanoria@gsb.columbia.edu, Lobel, Ilan2 (AUTHOR) ilobel@stern.nyu.edu, Lu, Jiaqi3 (AUTHOR) lujiaqi@cuhk.edu.cn
Publikováno v:
Mathematics of Operations Research. May2024, Vol. 49 Issue 2, p1192-1222. 31p.
We study distributed algorithms for solving global optimization problems in which the objective function is the sum of local objective functions of agents and the constraint set is given by the intersection of local constraint sets of agents. We assu
Externí odkaz:
http://arxiv.org/abs/1004.0969
We consider the problem of revenue-optimal dynamic mechanism design in settings where agents' types evolve over time as a function of their (both public and private) experience with items that are auctioned repeatedly over an infinite horizon. A cent
Externí odkaz:
http://arxiv.org/abs/1001.4598
Publikováno v:
Operations Research, 2018 Sep 01. 66(5), 1346-1361.
Externí odkaz:
https://www.jstor.org/stable/48748516