Zobrazeno 1 - 10
of 31
pro vyhledávání: '"A, Tachet des Combes"'
Autor:
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
By providing unprecedented access to computational resources, cloud computing has enabled rapid growth in technologies such as machine learning, the computational demands of which incur a high energy cost and a commensurate carbon footprint. As a res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd9163b05fe00fc5e596f5fed2a5a59
http://arxiv.org/abs/2206.05229
http://arxiv.org/abs/2206.05229
Autor:
Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data-anonymized records of bank card transactions collected in Spain by a big
Externí odkaz:
https://doaj.org/article/3ca923a786d14f7fa30b49ee88fb87c8
Publikováno v:
IJCAI
Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson's. Suppression and control of this collective synchronous activity are therefore of great importance for neuroscience,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91a4392ac6303d1c78e3cd9e1554615b
https://doi.org/10.24963/ijcai.2020/394
https://doi.org/10.24963/ijcai.2020/394
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461324
ECML/PKDD (3)
ECML/PKDD (3)
Batch Reinforcement Learning (Batch RL) consists in training a policy using trajectories collected with another policy, called the behavioural policy. Safe policy improvement (SPI) provides guarantees with high probability that the trained policy per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f5e151d946d52443ff8d0a7588fcb1d
https://doi.org/10.1007/978-3-030-46133-1_4
https://doi.org/10.1007/978-3-030-46133-1_4
Publikováno v:
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Delft University of Technology
Delft University of Technology
Previous work has shown the unreliability of existing algorithms in the batch Reinforcement Learning setting, and proposed the theoretically-grounded Safe Policy Improvement with Baseline Bootstrapping (SPIBB) fix: reproduce the baseline policy in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cadf9a5dbb81ced5846acaae381d603
http://arxiv.org/abs/1909.05236
http://arxiv.org/abs/1909.05236
Autor:
Timothy J. Hazen, Soroush Mehri, Yadollah Yaghoobzadeh, Remi Tachet des Combes, Alessandro Sordoni
Publikováno v:
Scopus-Elsevier
EACL
EACL
Neural NLP models tend to rely on spurious correlations between labels and input features to perform their tasks. Minority examples, i.e., examples that contradict the spurious correlations present in the majority of data points, have been shown to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faea1beec554e106d2c85ff9d40e6119
Publikováno v:
Journal of Mathematical Finance
Journal of Mathematical Finance, Scientific Research, 2017, 7 (3), pp.571-596. ⟨10.4236/jmf.2017.73030⟩
Journal of Mathematical Finance, Scientific Research, 2017, 7 (3), pp.571-596. ⟨10.4236/jmf.2017.73030⟩
Consistently fitting vanilla option surface is an important issue in derivative modelling. In this paper, we consider three different models: local and stochastic volatility, local correlation, hybrid local volatility with stochastic rates, and addre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c1ba88c019fa23a440b482eacc85aa6
https://hal.archives-ouvertes.fr/hal-01399542
https://hal.archives-ouvertes.fr/hal-01399542
Autor:
Juan Murillo Arias, Carlo Ratti, Izabela Sitko, Stanislav Sobolevsky, Remi Tachet des Combes, Bartosz Hawelka
Publikováno v:
Public Library of Science
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
PLoS ONE
Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data–anonymized records of bank card transactions collected in Spain by a b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7d882d30027322fc88a7db36400509
https://orcid.org/0000-0002-5209-1843
https://orcid.org/0000-0002-5209-1843
Autor:
Sobolevsky, Stanislav, Sitko, Izabela, Tachet des Combes, Remi, Hawelka, B., Murillo Arias, Juan, Ratti, Carlo
Publikováno v:
MIT web domain
Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies requires meaningful urban metrics, which could quantify important urb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::704f2cfdb12a6fcfe2087bf6917da4a5
http://hdl.handle.net/1721.1/101687
http://hdl.handle.net/1721.1/101687
Autor:
Juan Murillo Arias, Izabela Sitko, Stanislav Sobolevsky, Carlo Ratti, Bartosz Hawelka, Remi Tachet des Combes
Publikováno v:
BigData Congress
Increasing availability of big data, which documents human activity in space and time, offers new solutions to well-known operational problems. Recent studies have demonstrated how topological community detection in large-scale networks of human inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e68e615c911c3f8c68694a09aa89d06
https://doi.org/10.1109/bigdata.congress.2014.28
https://doi.org/10.1109/bigdata.congress.2014.28