Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jacob Abernethy"'
Publikováno v:
SSRN Electronic Journal.
Pricing managers at online retailers face a unique challenge. They must decide on real-time prices for a large number of products with incomplete demand information. The manager runs price experiments to learn about each product's demand curve and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c09dc63af39ed5feff3c6304e1ca85f
https://doi.org/10.2139/ssrn.2981814
https://doi.org/10.2139/ssrn.2981814
Publikováno v:
KDD
We detail our ongoing work in Flint, Michigan to detect pipes made of lead and other hazardous metals. After elevated levels of lead were detected in residents' drinking water, followed by an increase in blood lead levels in area children, the state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa9c84bdbf33716194ac222b67e2097
Autor:
Eric M. Schwartz, Daniel Zhang, Arya Farahi, Jacob Abernethy, Jared Webb, Guangsha Shi, Alex Chojnacki, Chengyu Dai
Publikováno v:
KDD
NASA Astrophysics Data System
NASA Astrophysics Data System
When the residents of Flint learned that lead had contaminated their water system, the local government made water-testing kits available to them free of charge. The city government published the results of these tests, creating a valuable dataset th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a6cffebeb26db7ebb2a66aaa09ec2e
https://doi.org/10.1145/3097983.3098078
https://doi.org/10.1145/3097983.3098078
Publikováno v:
ACM Transactions on Economics and Computation. 1:1-39
We propose a general framework for the design of securities markets over combinatorial or infinite state or outcome spaces. The framework enables the design of computationally efficient markets tailored to an arbitrary, yet relatively small, space of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff94d6df7c4bb07fd76c6b41807eba63
https://doi.org/10.1145/2465769.2465777
https://doi.org/10.1145/2465769.2465777
Publikováno v:
Perturbations, Optimization, and Statistics ISBN: 9780262337939
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8509d35770336c7b0df00641aabf854
https://doi.org/10.7551/mitpress/10761.003.0009
https://doi.org/10.7551/mitpress/10761.003.0009
Publikováno v:
IROS
Feature learning has become popular in robotics due to recent advances in machine learning. In this paper, we propose a novel method to utilize the high-dimensional features from these techniques as observations in Bayesian estimation problems in a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d5986d112400785b9f3fdcd1cef0ec4
https://doi.org/10.1109/iros.2016.7759205
https://doi.org/10.1109/iros.2016.7759205
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478791
SocInfo (1)
SocInfo (1)
Can we tell a good professor from their students’ comments? And are there differences between what is considered to be a good professor by different student groups? We use a large corpus of student evaluations collected from the RateMyProfessors we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d63ec54ff8952694cc06316e54c3d1b
https://doi.org/10.1007/978-3-319-47880-7_27
https://doi.org/10.1007/978-3-319-47880-7_27
Publikováno v:
IEEE Transactions on Information Theory. 58:4164-4175
We study the problem of predicting individual sequences with linear loss with full and partial (or bandit) feed- back. Our main contribution is the first efficient algorithm for the problem of online linear optimization in the bandit setting which ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::811c94ce351a3ac2002bd3fa04f4f887
https://doi.org/10.1109/tit.2012.2192096
https://doi.org/10.1109/tit.2012.2192096
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 20:145-155
We propose a framework for designing adaptive choice-based conjoint questionnaires that are robust to response error. It is developed based on a combination of experimental design and statistical learning theory principles. We implement and test a sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc3d345f62da7864aa23d0edd60da6e
https://doi.org/10.1109/tkde.2007.190632
https://doi.org/10.1109/tkde.2007.190632