{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T07:54:27Z","timestamp":1764402867856},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030010898"},{"type":"electronic","value":"9783030010904"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01090-4_23","type":"book-chapter","created":{"date-parts":[[2018,9,29]],"date-time":"2018-09-29T15:23:23Z","timestamp":1538234603000},"page":"387-403","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["PSense: Automatic Sensitivity Analysis for Probabilistic Programs"],"prefix":"10.1007","author":[{"given":"Zixin","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenbang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sasa","family":"Misailovic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,30]]},"reference":[{"key":"23_CR1","unstructured":"Wikipedia: SGD. https:\/\/en.wikipedia.org\/wiki\/Stochastic_gradient_descent"},{"key":"23_CR2","unstructured":"Mathematica (2015). https:\/\/www.wolfram.com\/mathematica\/"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Albarghouthi, A., D\u2019Antoni, L., Drews, S., Nori, A.: Fairsquare: probabilistic verification of program fairness. In: OOPSLA (2017)","DOI":"10.1145\/3133904"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Barthe, G., Espitau, T., Gr\u00e9goire, B., Hsu, J., Strub, P.: Proving expected sensitivity of probabilistic programs. In: POPL (2018)","DOI":"10.1145\/3158145"},{"issue":"3","key":"23_CR5","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.ejor.2015.06.032","volume":"248","author":"E Borgonovo","year":"2016","unstructured":"Borgonovo, E., Plischke, E.: Sensitivity analysis: a review of recent advances. Eur. J. Oper. Res. 248(3), 869\u2013887 (2016)","journal-title":"Eur. J. Oper. Res."},{"key":"23_CR6","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1613\/jair.967","volume":"17","author":"H Chan","year":"2002","unstructured":"Chan, H., Darwiche, A.: When do numbers really matter? J. Artif. Intell. Res. 17, 265\u2013287 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"23_CR7","unstructured":"Chan, H., Darwiche, A.: Sensitivity analysis in Bayesian networks: from single to multiple parameters. In: UAI (2004)"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Chaudhuri, S., Gulwani, S., Lublinerman, R., Navidpour, S.: Proving programs robust. In: FSE (2011)","DOI":"10.1145\/2025113.2025131"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Filieri, A., P\u0103s\u0103reanu, C., Visser, W.: Reliability analysis in symbolic pathfinder. In: ICSE (2013)","DOI":"10.1109\/ICSE.2013.6606608"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Gehr, T., Misailovic, S., Vechev, M.: PSI: exact symbolic inference for probabilistic programs. In: CAV (2016)","DOI":"10.1007\/978-3-319-41528-4_4"},{"issue":"5","key":"23_CR11","doi-asserted-by":"publisher","first-page":"530","DOI":"10.3102\/1076998615606113","volume":"40","author":"Andrew Gelman","year":"2015","unstructured":"Gelman, A., Lee, D., Guo, J.: Stan: a probabilistic programming language for Bayesian inference and optimization. J. Educ. Behav. Stats. 40, 530\u2013543 (2015)","journal-title":"Journal of Educational and Behavioral Statistics"},{"key":"23_CR12","unstructured":"Goodman, N., Mansinghka, V., Roy, D., Bonawitz, K., Tenenbaum, J.: Church: a language for generative models. In: UAI (2008)"},{"key":"23_CR13","unstructured":"Goodman, N., Stuhlm\u00fcller, A.: The design and implementation of probabilistic programming languages (2014)"},{"key":"23_CR14","unstructured":"Goodman, N., Tenenbaum, J.: Probabilistic Models of Cognition. https:\/\/probmods.org\/"},{"key":"23_CR15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1093\/oso\/9780198523567.003.0011","volume":"5","author":"P Gustafson","year":"1996","unstructured":"Gustafson, P., Srinivasan, C., Wasserman, L.: Local sensitivity analysis. Bayesian Stat. 5, 197\u2013210 (1996)","journal-title":"Bayesian Stat."},{"key":"23_CR16","unstructured":"Holtzen, S., Millstein, T., Broeck, G.: Probabilistic program abstractions. In: UAI (2017)"},{"key":"23_CR17","first-page":"1","volume-title":"Handbook of Uncertainty Quantification","author":"B Iooss","year":"2016","unstructured":"Iooss, B., Saltelli, A.: Introduction to sensitivity analysis. Handbook of Uncertainty Quantification, pp. 1\u201320. Springer, Cham (2016)"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Llerena, Y., Su, G., Rosenblum, D.: Probabilistic model checking of perturbed mdps with applications to cloud computing. In: FSE (2017)","DOI":"10.1145\/3106237.3106301"},{"key":"23_CR19","unstructured":"Mansinghka, V., Selsam, D., Perov, Y.: Venture: a higher-order probabilistic programming platform with programmable inference. ArXiv arXiv:1404.0099 (2014)"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Narayanan, P., Carette, J., Romano, W., Shan, C., Zinkov, R.: Probabilistic inference by program transformation in hakaru. In: FLOPS (2016)","DOI":"10.1007\/978-3-319-29604-3_5"},{"key":"23_CR21","doi-asserted-by":"crossref","unstructured":"Olmedo, F., Kaminski, B., Katoen, J., Matheja, C.: Reasoning about recursive probabilistic programs. In: LICS (2016)","DOI":"10.1145\/2933575.2935317"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Saltelli, A., et al.: Global sensitivity analysis: the primer (2008)","DOI":"10.1002\/9780470725184"},{"key":"23_CR23","doi-asserted-by":"crossref","unstructured":"Sankaranarayanan, S., Chakarov, A., Gulwani, S.: Static analysis for probabilistic programs: inferring whole program properties from finitel many paths. In: PLDI 2013","DOI":"10.1145\/2491956.2462179"},{"key":"23_CR24","unstructured":"Tran, D., Kucukelbir, A., Dieng, A., Rudolph, M., Liang, D., Blei, D.: Edward: a library for probabilistic modeling, inference, and criticism. arXiv:1610.09787 (2016)"},{"key":"23_CR25","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/978-3-540-68996-6_5","volume-title":"Advances in Probabilistic Graphical Models","author":"L Gaag van der","year":"2007","unstructured":"van der Gaag, L., Renooij, S., Coup\u00e9, V.: Sensitivity analysis of probabilistic networks. Advances in Probabilistic Graphical Models, pp. 103\u2013124. Springer, Berlin (2007)"},{"key":"23_CR26","doi-asserted-by":"crossref","unstructured":"Wang, D., Hoffmann, J., Reps, T.: PMAF: an algebraic framework for static analysis of probabilistic programs. In: PLDI (2018)","DOI":"10.1145\/3192366.3192408"},{"key":"23_CR27","unstructured":"Wood, F., van de Meent, J., Mansinghka, V.: A new approach to probabilistic programming inference. In: AISTATS (2014)"}],"container-title":["Lecture Notes in Computer Science","Automated Technology for Verification and Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01090-4_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T22:10:14Z","timestamp":1720649414000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01090-4_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030010898","9783030010904"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01090-4_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ATVA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Automated Technology for Verification and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Los Angeles, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atva2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/atva-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}