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An Anytime Algorithm for Reachability on Uncountable MDP [article]

Kush Grover, Jan Křetínský, Tobias Meggendorfer, Maximilian Weininger
<span title="2020-08-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Moreover, it simultaneously is the first algorithm able to utilize learning approaches without sacrificing guarantees and it further allows for combination with existing heuristics.  ...  It is the first such anytime algorithm, meaning that at any point in time it can return the current approximation with its precision.  ...  In Luc De Raedt and Stefan Wrobel, editors, Machine Learning, Proceedings of the Twenty- Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, volume 119 of ACM International  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.04824v1">arXiv:2008.04824v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/54e5csqhojhdpc6brhwero4plq">fatcat:54e5csqhojhdpc6brhwero4plq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200819212057/https://arxiv.org/pdf/2008.04824v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.04824v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
<span title="2022-05-06">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Progress in fair Machine Learning hinges on data, which can be appropriately used only if adequately documented.  ...  As a result, a growing community of researchers has been investigating the equity of existing algorithms and proposing novel ones, advancing the understanding of risks and opportunities of automated decision-making  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.01711v2">arXiv:2202.01711v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5hf4a42pubc5vnt7tw3al4m5bq">fatcat:5hf4a42pubc5vnt7tw3al4m5bq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220510061614/https://arxiv.org/pdf/2202.01711v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/57/9157d70f2c3204c064712f70a021455e4e4fb88b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.01711v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Neural methods for entity-centric knowledge extraction and reasoning in natural language

Rajarshi Bhowmik
<span title="">2021</span>
Entities are the cornerstone for the dissemination of factual knowledge in natural language.  ...  Furthermore, as a representative of knowledge-intensive natural language processing tasks, this dissertation studies the problem of entity summarization to retrieve relevant facts and generate fact-allegiant  ...  ICML ’05, Bonn, Germany: Association for Computing Machinery, 2005, pp. 89–96, ISBN: 1595931805. [122] W. Chen, T.-y. Liu, Y. Lan, Z.-m. Ma, and H.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7282/t3-gk5z-3g02">doi:10.7282/t3-gk5z-3g02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jraokdwidrhk7ae2jrdqftqdfu">fatcat:jraokdwidrhk7ae2jrdqftqdfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211225161735/https://rucore.libraries.rutgers.edu/rutgers-lib/66744/PDF/1/" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/05/a505475b6fa30b379f7a90c3d9d75c6125a6d5e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7282/t3-gk5z-3g02"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
<span title="2022-02-01">2022</span>
As a result, a growing community of algorithmic fairness researchers has been investigating the equity of existing algorithms and proposing novel ones, advancing the understanding of the risks and opportunities  ...  We discuss different approaches and levels of attention to these topics, making them tangible, and distill them into a set of best practices for the curation of novel datasets.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2202.01711">doi:10.48550/arxiv.2202.01711</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mav36x3w5namjhurzpevtsmsju">fatcat:mav36x3w5namjhurzpevtsmsju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204014816/https://arxiv.org/pdf/2202.01711.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/13/d81324efaae580a9cf6d031dece5ca6891fa0887.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2202.01711"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Proceedings of the 6th International Symposium on Semantic Mining in Biomedicine (SMBM 2014)

S.N.
<span title="2014-09-01">2014</span>
The Research Programme on Biomedical Informatics (GRIB) is a node of the Spanish National Institute of Bioinformatics (INB).  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ...  In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, volume 28, pages 405-413. JMLR.org.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5167/uzh-98982">doi:10.5167/uzh-98982</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/avtlvr27hrdyfjfto47x2lfulu">fatcat:avtlvr27hrdyfjfto47x2lfulu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200303064353/https://www.zora.uzh.ch/id/eprint/98982/103/ProceedingsSMBM14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/98/4f98762b7cf8dec9e859447073424ba6eb678ab4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5167/uzh-98982"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

50 Algebra in Computational Complexity (Dagstuhl Seminar 14391) Manindra Agrawal, Valentine Kabanets, Thomas Thierauf, and Christopher Umans 85 Privacy and Security in an Age of Surveillance (Dagstuhl Perspectives Workshop

Maria-Florina Balcan, Bodo Manthey, Heiko Röglin, Tim Roughgarden, Artur D'avila Garcez, Marco Gori, Pascal Hitzler, Luís Lamb, Bart Preneel, Phillip Rogaway, Mark Ryan, Peter (+5 others)
<span class="release-stage">unpublished</span>
Proceedings of the 28 th International Conference on Machine Learning (ICML), 2011. 3 Ruth Urner, Sharon Wullf and Shai Ben-David. PLAL: Cluster-based active learning.  ...  Proceedings of the 26 th Conference on Learning Theory (COLT), 2013.  ...  The application changes are also portable (machine-independent) and create a gentle-slope path to tolerating growing error rates in future systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e5wnf6cuhvc3bceegijgut34zm">fatcat:e5wnf6cuhvc3bceegijgut34zm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180521034757/http://drops.dagstuhl.de/opus/volltexte/2015/4898/pdf/dagrep-v004-i009-complete.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/cd/0ccd810d0ac74404738558dbbe6a59dde98c4f99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>