Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Michael Kearns"'
Autor:
Liya Ding, Hye-Jung Kim, Qiwei Wang, Michael Kearns, Tao Jiang, Carolynn E. Ohlson, Ben B. Li, Shaozhen Xie, Joyce F. Liu, Elizabeth H. Stover, Brooke E. Howitt, Roderick T. Bronson, Suzan Lazo, Thomas M. Roberts, Gordon J. Freeman, Panagiotis A. Konstantinopoulos, Ursula A. Matulonis, Jean J. Zhao
Publikováno v:
Cell Reports, Vol 25, Iss 11, Pp 2972-2980.e5 (2018)
Summary: PARP inhibitors have shown promising clinical activities for patients with BRCA mutations and are changing the landscape of ovarian cancer treatment. However, the therapeutic mechanisms of action for PARP inhibition in the interaction of tum
Externí odkaz:
https://doaj.org/article/bc6aebff3ce242799ea51c12c403558d
Autor:
Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f24837812861558f516d00a53534f0
https://doi.org/10.1073/pnas.2304263120
https://doi.org/10.1073/pnas.2304263120
Autor:
Liya Ding, Qiwei Wang, Antons Martincuks, Michael Kearns, Tao Jiang, Ziying Lin, Xin Cheng, Changli Qian, Hye-Jung Kim, Inga-Maria Launonen, Anniina Färkkilä, Thomas Roberts, Joyce Liu, Panagiotis Konstantinopoulos, Ursula Matulonis, Hua Yu, Jean Zhao
Publikováno v:
Regular and Young Investigator Award Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6ab682b1e1553e96acfde3a503a235e
https://doi.org/10.1136/jitc-2022-sitc2022.0910
https://doi.org/10.1136/jitc-2022-sitc2022.0910
Autor:
Aaron Roth, Michael Kearns
Publikováno v:
ACM SIGecom Exchanges. 18:31-36
In this letter, we summarize the research agenda that we survey in our recent book The Ethical Algorithm , which is intended for a general, nontechnical audience. At a high level, this research agenda proposes formalizing the ethical and social value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d764441a2f5a048488f932b77c287903
https://doi.org/10.1145/3440959.3440966
https://doi.org/10.1145/3440959.3440966
Autor:
Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
We introduce AdaMix, an adaptive differentially private algorithm for training deep neural network classifiers using both private and public image data. While pre-training language models on large public datasets has enabled strong differential priva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d61a32561946f4362f02ff0bf57bebc
Autor:
Filip Cuckov, Sean Spencer, Piotr Gorczynski, Lucas Lomba, Garry Ingles, Preston Watson, Michael Kearns, Joseph Harling, Eric Yeh, Shakir Khan, Tayyaba Hasan, Jonathan P. Celli
Publikováno v:
2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53147c4a3d0422c3a786dafe81c9de06
https://doi.org/10.1109/biosmart54244.2021.9677812
https://doi.org/10.1109/biosmart54244.2021.9677812
Publikováno v:
AIES
We consider a recently introduced framework in which fairness is measured by worst-case outcomes across groups, rather than by the more standard differences between group outcomes. In this framework we provide provably convergent oracle-efficient lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e5c4fc52296f3e3021709a3ac9ae705
https://doi.org/10.1145/3461702.3462523
https://doi.org/10.1145/3461702.3462523
Publikováno v:
Cancer Research. 82:LB004-LB004
PARP inhibitors (PARPi) have demonstrated potent therapeutic efficacy in patients with ovarian cancer. However, acquired resistance to PARPi is a major challenge in the clinic. Therefore, understanding the resistance mechanism and developing new trea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38dc67f9a9d31d7c4a77ed64218a634
https://doi.org/10.1158/1538-7445.am2022-lb004
https://doi.org/10.1158/1538-7445.am2022-lb004
Publikováno v:
EC
We propose and analyze differentially private (DP) mechanisms for call auctions as an alternative to the complex and ad-hoc privacy efforts that are common in modern electronic markets. We prove that the number of shares cleared in the DP mechanisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03ee151df082c92551c13b5ef6d8058
https://doi.org/10.1145/3391403.3399500
https://doi.org/10.1145/3391403.3399500