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ISA (The Israel Statistical Association) Annual Meeting 2019 – Presentations

October 12, 2019 sherry 0 Data Science, Design, Engineering, Explaining of Israel, Technology,

Theoretical Data Science

LAGO: The adaptive Learn-As-you-GO design for multi-stage intervention studiesDownload

Daniel Nevo, TAU; Judith Lok BU; Donna Spiegelman Yale

Semi-supervised linear regressionDownload

David Azriel, Larry Brown, Micahel Sklar, Richard Berk, Andread Buja, Linda Zhao; Technion and other places

Generalized reliability based on distancesDownload

Meng Xu, University of Haifa; Philip Reiss, University of Haifa; Ivor Cribben, U.Alberta, Canada

Extrapolating accuracy in large multi-class problemsDownload

Yuval Benjamini, HUJI; Charles Zheng, NIH (NIMH)

Applied Data Science

Unsupervised Learning for Translation across Languages and ImagesDownload

Yedid Hoshen, HUJI

Structuring ﬁnancial documents with deep NLP methods Download

Alex Zhicharevich, Intuit AI

Towards Computer Vision as a ServiceDownload

Asaf Noy, Israel Machine Vision Lab, DAMO Academ

Real Time Linear Scheduling
Fast Approximation Solution to the Assignment Problem Download

Shlomo Ahal, CTO at IstraResearch

Formal Statistics

Spatial Land Use DatabaseDownload

Efrat Avraham, Geographic Information System (GIS), Geography Central Bureau of Statistics

Who knows what an MSL is?Download

Moshe Pollak, Geography Central Bureau of Statistics and HUJI

Statistical Analysis of Big Data

Learning with PerturbationsDownload

Tamir Hazan, Technion; Andreea Gane, Tommi Jaakkola, Guy Lorberbom

Scalable Detection of Rare Classes in Big DataDownload

Lior Shabtay, Rami Yaari, Itai Dattner; University of Haifa, Gertner Institute for Epidemiology and Health Policy Research

Gaussian Markov Random Fields for big-scale spatio-temporal dataDownload

Ron Sarafian, BGU

Detection of data ‘drift’ over time aﬀecting ML model performanceDownload

Samuel Ackerman, Orna Raz, Eitan Farchi, Marcel Zalmanovici, Yuval Salant; IBM Research, Haifa (Verification and Quality Analytics)

Privacy

Differential Privacy as a Stability NotionDownload

Moshe Shenfeld, HUJI

The Local Model of Differential PrivacyDownload

Uri Stemmer, BGU

Privacy in data dissemination, differential privacy, and adaptivityDownload

Yosi Rinott, HUJI

Prediction and Uncertainty Quantification

Enhancer Identiﬁcation in Multiple Species using Deep LearningDownload

Or Zuk, HUJI; Dikla Cohn, Tommy Kaplan

Cross-Validation for Correlated DataDownload

Assaf Rabinowicz, Department of Statistics and Operations Research, TAU
Supervisor: Prof. Saharon Rosset

Confidence Intervals for the Test Error in a general Kernel Machine ClassificationDownload

Jonathan Yefenof, Ya’acov Ritov, Yair Goldberg; HUJI, University of Michigan, Technion

Keynote Lecture – Prof. Jordan

Statistical Machine Learning: Dynamical, Stochastic and Economic PerspectivesDownload

Michael I. Jordan, University of California, Berkeley

*The Annual conferences of the Israeli Statistics Association, including the Founding Conference.*

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Tags: Alex Zhicharevich, and adaptivity, Andread Buja, Andreea Gane, ANNUAL MEETING 2019, Applied Data Science, Asaf Noy, Assaf Rabinowicz, Berkeley, BGU, BU, Canada, Charles Zheng, Confidence Intervals for the Test Error in a general Kernel Machine Classification, Cross-Validation for Correlated Data, CTO at IstraResearch, DAMO Academ, Daniel Nevo, Data Science, David Azriel, Department of Statistics and Operations Research, DESIGN, Detection of data ‘drift’ over time aﬀecting ML model performance, differential privacy, Differential Privacy as a Stability Notion, Dikla Cohn, Donna Spiegelman, Efrat Avraham, Eitan Farchi, engineering, Enhancer Identiﬁcation in Multiple Species using Deep Learning, Explaining of Israel, Extrapolating accuracy in large multi-class problems, Fast Approximation Solution to the Assignment Problem, Formal Statistics, Gaussian Markov Random Fields for big-scale spatio-temporal data, Generalized reliability based on distances, Geographic Information System (GIS), Geography Central Bureau of Statistics, Gertner Institute for Epidemiology and Health Policy Research, Guy Lorberbom, Haifa, HUJI, IBM Research, including the Founding Conference, Intuit AI, ISA, ISA Annual Meeting 2015, Israel Machine Vision Lab, Itai Dattner, Ivor Cribben, Jonathan Yefenof, Judith Lok, Keynote Lecture, LAGO: The adaptive Learn-As-you-GO design for multi-stage intervention studies, Larry Brown, Learning with Perturbations, Linda Zhao, Lior Shabtay, Marcel Zalmanovici, Meng Xu, Micahel Sklar, Michael I. Jordan, Moshe Pollak, Moshe Shenfeld, NIH (NIMH), Or Zuk, Orna Raz, Philip Reiss, Prediction and Uncertainty Quantification, Presentations, privacy, Privacy in data dissemination, Prof. Jordan, Prof. Saharon Rosset, Rami Yaari, Real Time Linear Scheduling, Richard Berk, Ron Sarafian, Samuel Ackerman, Scalable Detection of Rare Classes in Big Data, Semi-supervised linear regression, Shlomo Ahal, Spatial Land Use Database, Statistical Analysis of Big Data, Statistical Machine Learning: Dynamical, Stochastic and Economic Perspectives, Structuring ﬁnancial documents with deep NLP methods, Supervisor, Tamir Hazan, TAU, Technion, TECHNOLOGY, The Annual conferences of the Israeli Statistics Association, THE ISRAEL STATISTICAL ASSOCIATION, The Local Model of Differential Privacy, Theoretical Data Science, Tommi Jaakkola, Tommy Kaplan, Towards Computer Vision as a Service, U.Alberta, University of California, University of Haifa, University of Michigan, Unsupervised Learning for Translation across Languages and Images, Uri Stemmer, Verification and Quality Analytics, Who knows what an MSL is?, Ya’acov Ritov, Yair Goldberg, Yale, Yedid Hoshen, Yosi Rinott, Yuval Benjamini, Yuval Salant

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