Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Francisco J. Marmolejo"'
Based on twenty case studies of universities worldwide, and on a survey administered to leaders in 101 universities, this open access book shows that, amidst the significant challenges caused by the COVID-19 pandemic, universities found ways to engag
Publikováno v:
New Directions for Teaching and Learning. 2022:21-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3050d864da703ef0bfa605a906b6329d
https://doi.org/10.1002/tl.20480
https://doi.org/10.1002/tl.20480
Publikováno v:
AI Matters. 7:26-34
The Fourth Workshop on Mechanism Design for Social Good was held virtually in August 2020, with a focus on work bridging research and policy. This article represents the experience of the chairs and discusses novel conference-organizing practices aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf3bb0950037611075a8c3488be1ebd6
https://doi.org/10.1145/3465074.3465082
https://doi.org/10.1145/3465074.3465082
Publikováno v:
ACM Transactions on Economics and Computation. 9:1-36
Suppose that an m -simplex is partitioned into n convex regions having disjoint interiors and distinct labels, and we may learn the label of any point by querying it. The learning objective is to know, for any point in the simplex, a label that occur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc58cd97d325bba89714b18cd45717c4
https://doi.org/10.1145/3434412
https://doi.org/10.1145/3434412
Publikováno v:
Financial Cryptography and Data Security-24th International Conference, FC 2020, Kota Kinabalu, Malaysia, February 10–14, 2020 Revised Selected Papers
Financial Cryptography and Data Security ISBN: 9783030512798
Financial Cryptography
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Financial Cryptography and Data Security
Financial Cryptography and Data Security ISBN: 9783030512798
Financial Cryptography
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Financial Cryptography and Data Security
Bitcoin is a decentralised digital currency that serves as an alternative to existing transaction systems based on an external central authority for security. Although Bitcoin has many desirable properties, one of its fundamental shortcomings is its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1f6907f8686e10eed08c2db082f422
Publikováno v:
AFT
The Bitcoin protocol prescribes certain behavior by the miners who are responsible for maintaining and extending the underlying blockchain; in particular, miners who successfully solve a puzzle, and hence can extend the chain by a block, are supposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ea77ba5772074c495d720e16d2b959c
Publikováno v:
New Directions for Community Colleges. 2016:75-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3f2aedff8f9212407f70356e46e26d
https://doi.org/10.1002/cc.20204
https://doi.org/10.1002/cc.20204
Publikováno v:
Algorithmic Game Theory ISBN: 9783662533536
SAGT
SAGT
We investigate the problem of equilibrium computation for "large" $n$-player games. Large games have a Lipschitz-type property that no single player's utility is greatly affected by any other individual player's actions. In this paper, we mostly focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b3485e792330b38ec58b770e88d8663
https://ora.ox.ac.uk/objects/uuid:2f9dc1ef-0d83-42b1-8034-c0d54de02835
https://ora.ox.ac.uk/objects/uuid:2f9dc1ef-0d83-42b1-8034-c0d54de02835
Publikováno v:
Web and Internet Economics ISBN: 9783030046118
WINE
WINE
Suppose that an $m$-simplex is partitioned into $n$ convex regions having disjoint interiors and distinct labels, and we may learn the label of any point by querying it. The learning objective is to know, for any point in the simplex, a label that oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54f7d46665107f55902b57421d61c47
https://doi.org/10.1007/978-3-030-04612-5_12
https://doi.org/10.1007/978-3-030-04612-5_12
Autor:
Georgios Birmpas, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo-Cossio, Ninad Rajgopal, Alexandros A. Voudouris
Recent results in the ML community have revealed that learning algorithms used to compute the optimal strategy for the leader to commit to in a Stackelberg game, are susceptible to manipulation by the follower. Such a learning algorithm operates by q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8451ba0d7896c1d6ceb5568010d8ccd