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DTSTART:20160313T070000
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DTSTART;TZID=America/New_York:20170519T110000
DTEND;TZID=America/New_York:20170519T110000
DTSTAMP:20260407T110606
CREATED:20190627T212122Z
LAST-MODIFIED:20190627T212122Z
UID:10084-1495191600-1495191600@idss-stage.mit.edu
SUMMARY:Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/fast-rates-for-bandit-optimization-with-upper-confidence-frank-wolfe-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170516T160000
DTEND;TZID=America/New_York:20170516T160000
DTSTAMP:20260407T110606
CREATED:20190627T212122Z
LAST-MODIFIED:20190627T212647Z
UID:10085-1494950400-1494950400@idss-stage.mit.edu
SUMMARY:Stable Optimal Control and Semicontractive Dynamic Programming
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/stable-optimal-control-and-semicontractive-dynamic-programming-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170512T110000
DTEND;TZID=America/New_York:20170512T110000
DTSTAMP:20260407T110606
CREATED:20190627T212123Z
LAST-MODIFIED:20190627T212123Z
UID:10086-1494586800-1494586800@idss-stage.mit.edu
SUMMARY:Invariance and Causality
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/invariance-and-causality-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170511
DTEND;VALUE=DATE:20170513
DTSTAMP:20260407T110606
CREATED:20190627T212123Z
LAST-MODIFIED:20190627T212123Z
UID:10087-1494460800-1494633599@idss-stage.mit.edu
SUMMARY:LIDS Smart Urban Infrastructures Workshop
DESCRIPTION:The LIDS Smart Urban Infrastructures Workshop is a two-day event showcasing current work and emerging research opportunities at the intersection of smart services and urban infrastructure systems.
URL:https://idss-stage.mit.edu/calendar/lids-smart-urban-infrastructures-workshop-2/
LOCATION:MIT Media Lab (E14-648)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170505T110000
DTEND;TZID=America/New_York:20170505T110000
DTSTAMP:20260407T110606
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10088-1493982000-1493982000@idss-stage.mit.edu
SUMMARY:Some related phase transitions in phylogenetics and social network analysis 
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/some-related-phase-transitions-in-phylogenetics-and-social-network-analysis-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170428T110000
DTEND;TZID=America/New_York:20170428T110000
DTSTAMP:20260407T110606
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10089-1493377200-1493377200@idss-stage.mit.edu
SUMMARY:Testing properties of distributions over big domains
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/testing-properties-of-distributions-over-big-domains-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170425T160000
DTEND;TZID=America/New_York:20170425T160000
DTSTAMP:20260407T110606
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10090-1493136000-1493136000@idss-stage.mit.edu
SUMMARY:Recent Methodological Advances in Automated Causal Discovery
DESCRIPTION:IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks\, causal inference\, data privacy\, computational social science and other areas that are impacted by the emergence of big data.  
URL:https://idss-stage.mit.edu/calendar/recent-methodological-advances-in-automated-causal-discovery-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170420T080000
DTEND;TZID=America/New_York:20170420T170000
DTSTAMP:20260407T110606
CREATED:20171102T174309Z
LAST-MODIFIED:20180501T190417Z
UID:6918-1492675200-1492707600@idss-stage.mit.edu
SUMMARY:SDSCon 2017: Statistics and Data Science Conference
DESCRIPTION:SDSCon 2017 is a celebration of MIT’s statistics and data science community. Organized by MIT’s Statistics and Data Center (SDSC)\, the conference will feature presentations from established academic leaders\, industry innovators\, and rising stars in the field. Discussions will cover a wide range of theory and application\, representing the latest research and breakthroughs in statistics and data science. \nSDSC is an MIT-wide focal point for advancing academic programs and research activities in statistics and data science. It was formed in 2015 as part of the MIT Institute for for Data\, Systems\, and Society (IDSS).
URL:https://idss-stage.mit.edu/calendar/sdscon-2017-statistics-and-data-science-center-conference/
LOCATION:34-401 (Grier Room)\, The Stata Center (34-401)\, 50 Vassar Street\, Cambridge\, 02139\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170419T160000
DTEND;TZID=America/New_York:20170419T160000
DTSTAMP:20260407T110606
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10091-1492617600-1492617600@idss-stage.mit.edu
SUMMARY:The Landscape of Some Statistical Problems
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/the-landscape-of-some-statistical-problems-2/
LOCATION:E18-304\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170414T110000
DTEND;TZID=America/New_York:20170414T110000
DTSTAMP:20260407T110606
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10092-1492167600-1492167600@idss-stage.mit.edu
SUMMARY:Active learning with seed examples and search queries
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/active-learning-with-seed-examples-and-search-queries-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170413T160000
DTEND;TZID=America/New_York:20170413T160000
DTSTAMP:20260407T110606
CREATED:20190627T212127Z
LAST-MODIFIED:20190627T212127Z
UID:10093-1492099200-1492099200@idss-stage.mit.edu
SUMMARY:Data-Driven Models in Power Systems
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/data-driven-models-in-power-systems-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170411T160000
DTEND;TZID=America/New_York:20170411T160000
DTSTAMP:20260407T110606
CREATED:20190627T212127Z
LAST-MODIFIED:20190627T212127Z
UID:10094-1491926400-1491926400@idss-stage.mit.edu
SUMMARY:Geometries of Word Embeddings
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/geometries-of-word-embeddings-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170410T093000
DTEND;TZID=America/New_York:20170410T093000
DTSTAMP:20260407T110606
CREATED:20190627T212127Z
LAST-MODIFIED:20190627T212127Z
UID:10095-1491816600-1491816600@idss-stage.mit.edu
SUMMARY:From Theory to Methodology and Data Analysis: A Study of Model (Mis)specification
DESCRIPTION:
URL:https://idss-stage.mit.edu/calendar/from-theory-to-methodology-and-data-analysis-a-study-of-model-misspecification-2/
LOCATION:46-3002\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170407T110000
DTEND;TZID=America/New_York:20170407T110000
DTSTAMP:20260407T110606
CREATED:20190627T212127Z
LAST-MODIFIED:20190627T212127Z
UID:10096-1491562800-1491562800@idss-stage.mit.edu
SUMMARY:Sample-optimal inference\, computational thresholds\, and the methods of moments 
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/sample-optimal-inference-computational-thresholds-and-the-methods-of-moments-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170406T160000
DTEND;TZID=America/New_York:20170406T160000
DTSTAMP:20260407T110606
CREATED:20190627T212128Z
LAST-MODIFIED:20190627T212128Z
UID:10097-1491494400-1491494400@idss-stage.mit.edu
SUMMARY:A System Level Approach to Controller Synthesis
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/a-system-level-approach-to-controller-synthesis-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170404T160000
DTEND;TZID=America/New_York:20170404T160000
DTSTAMP:20260407T110606
CREATED:20190627T212132Z
LAST-MODIFIED:20190627T212132Z
UID:10098-1491321600-1491321600@idss-stage.mit.edu
SUMMARY:Capacity via Symmetry: Extensions and Practical Consequences
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/capacity-via-symmetry-extensions-and-practical-consequences-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170324T110000
DTEND;TZID=America/New_York:20170324T110000
DTSTAMP:20260407T110606
CREATED:20190627T212132Z
LAST-MODIFIED:20190627T212132Z
UID:10099-1490353200-1490353200@idss-stage.mit.edu
SUMMARY:Jagers-Nerman stable age distribution theory\, change point detection and power of two choices in evolving networks
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/jagers-nerman-stable-age-distribution-theory-change-point-detection-and-power-of-two-choices-in-evolving-networks-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170322T160000
DTEND;TZID=America/New_York:20170322T160000
DTSTAMP:20260407T110606
CREATED:20190627T212133Z
LAST-MODIFIED:20190627T212133Z
UID:10100-1490198400-1490198400@idss-stage.mit.edu
SUMMARY:Inference and Control in Routing Games
DESCRIPTION:
URL:https://idss-stage.mit.edu/calendar/inference-and-control-in-routing-games-2/
LOCATION:1-131\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170317T110000
DTEND;TZID=America/New_York:20170317T110000
DTSTAMP:20260407T110606
CREATED:20190627T212133Z
LAST-MODIFIED:20190627T212133Z
UID:10101-1489748400-1489748400@idss-stage.mit.edu
SUMMARY:Probabilistic factorizations of big tables and networks
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/probabilistic-factorizations-of-big-tables-and-networks-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170313T150000
DTEND;TZID=America/New_York:20170313T163000
DTSTAMP:20260407T110606
CREATED:20190904T175423Z
LAST-MODIFIED:20190904T175423Z
UID:10617-1489417200-1489422600@idss-stage.mit.edu
SUMMARY:Learning from People
DESCRIPTION:Abstract:\nLearning from people represents a new and expanding frontier for data science. Two critical challenges in this domain are of developing algorithms for robust learning and designing incentive mechanisms for eliciting high-quality data. In this talk\, I describe progress on these challenges in the context of two canonical settings\, namely those of ranking and classification. In addressing the first challenge\, I introduce a class of “permutation-based” models that are considerably richer than classical models\, and present algorithms for estimation that are both rate-optimal and significantly more robust than prior state-of-the-art methods. I also discuss how these estimators automatically adapt and are simultaneously also rate-optimal over the classical models\, thereby enjoying a surprising a win-win in the bias-variance tradeoff. As for the second challenge\, I present a class of “multiplicative” incentive mechanisms\, and show that they are the unique mechanisms that can guarantee honest responses. Extensive experiments on a popular crowdsourcing platform reveal that the theoretical guarantees of robustness and efficiency indeed translate to practice\, yielding several-fold improvements over prior art. \nBio:\nNihar B. Shah is a PhD candidate in the EECS department at the University of California\, Berkeley. He is the recipient of the Microsoft Research PhD Fellowship 2014-16\, the Berkeley Fellowship 2011-13\, the IEEE Data Storage Best Paper and Best Student Paper Awards for the years 2011/2012\, and the SVC Aiya Medal from the Indian Institute of Science for the best master’s thesis in the department. His research interests include statistics and machine learning\, with a current focus on applications to learning from people.
URL:https://idss-stage.mit.edu/calendar/learning-from-people/
LOCATION:34-401 (Grier Room)\, The Stata Center (34-401)\, 50 Vassar Street\, Cambridge\, 02139\, United States
CATEGORIES:IDSS Special Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170310T110000
DTEND;TZID=America/New_York:20170310T110000
DTSTAMP:20260407T110606
CREATED:20190627T212133Z
LAST-MODIFIED:20190627T212133Z
UID:10102-1489143600-1489143600@idss-stage.mit.edu
SUMMARY:Robust Statistics\, Revisited 
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/robust-statistics-revisited-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170308
DTEND;VALUE=DATE:20170309
DTSTAMP:20260407T110606
CREATED:20190627T212134Z
LAST-MODIFIED:20190627T212134Z
UID:10103-1488931200-1489017599@idss-stage.mit.edu
SUMMARY:Infrastructure\, Smart Cities & Transportation Workshop
DESCRIPTION:Some IDSS faculty are among the list of speakers at this workshop hosted by MIT Department of Civil and Environmental Engineering and Parsons.
URL:https://idss-stage.mit.edu/calendar/infrastructure-smart-cities-transportation-workshop-2/
LOCATION:Samberg Conference Center (E52 6th floor)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170307T160000
DTEND;TZID=America/New_York:20170307T160000
DTSTAMP:20260407T110606
CREATED:20190627T212134Z
LAST-MODIFIED:20190627T212134Z
UID:10104-1488902400-1488902400@idss-stage.mit.edu
SUMMARY:How the Chinese Government Fabricates Social Media Posts for Strategic Distraction\, not Engaged Arguments
DESCRIPTION:IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks\, causal inference\, data privacy\, computational social science and other areas that are impacted by the emergence of big data.  
URL:https://idss-stage.mit.edu/calendar/how-the-chinese-government-fabricates-social-media-posts-for-strategic-distraction-not-engaged-arguments-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170306T173000
DTEND;TZID=America/New_York:20170306T173000
DTSTAMP:20260407T110606
CREATED:20190627T212134Z
LAST-MODIFIED:20190829T195456Z
UID:10105-1488821400-1488821400@idss-stage.mit.edu
SUMMARY:Gene Regulation in Space and Time\, or From Ellipsoid Packing to Causal Inference - DaVinci Lecture (presented by Tau Beta Pi)
DESCRIPTION:Abstract: Although the genetic information in each cell within an organism is identical\, gene expression varies widely between different cell types. The quest to understand this phenomenon has led to many interesting mathematics problems. Experimental evidence suggests that the differential gene expression is related to the spatial organization of chromosomes in the cell nucleus. I will present a new model\, based on ellipsoid packing and causal inference\, that can link the 3d organization of chromosomes with gene regulation. Such models have important implications in understanding the mechanisms underlying cellular reprogramming events.
URL:https://idss-stage.mit.edu/calendar/gene-regulation-in-space-and-time-or-from-ellipsoid-packing-to-causal-inference-davinci-lecture-presented-by-tau-beta-pi-2/
LOCATION:4-237\, United States
CATEGORIES:IDSS Special Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170303T110000
DTEND;TZID=America/New_York:20170303T110000
DTSTAMP:20260407T110606
CREATED:20190627T212134Z
LAST-MODIFIED:20190627T212134Z
UID:10106-1488538800-1488538800@idss-stage.mit.edu
SUMMARY:Computing partition functions by interpolation
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/computing-partition-functions-by-interpolation-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170228T160000
DTEND;TZID=America/New_York:20170228T160000
DTSTAMP:20260407T110606
CREATED:20190627T212135Z
LAST-MODIFIED:20190627T212135Z
UID:10107-1488297600-1488297600@idss-stage.mit.edu
SUMMARY:Distributed Energy Resource Control and Network Optimization
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/distributed-energy-resource-control-and-network-optimization-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170224T110000
DTEND;TZID=America/New_York:20170224T110000
DTSTAMP:20260407T110606
CREATED:20190627T212135Z
LAST-MODIFIED:20190627T212135Z
UID:10108-1487934000-1487934000@idss-stage.mit.edu
SUMMARY:Estimating the number of connected components of large graphs based on subgraph sampling
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/estimating-the-number-of-connected-components-of-large-graphs-based-on-subgraph-sampling-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170221T160000
DTEND;TZID=America/New_York:20170221T160000
DTSTAMP:20260407T110606
CREATED:20190627T212136Z
LAST-MODIFIED:20190627T212136Z
UID:10109-1487692800-1487692800@idss-stage.mit.edu
SUMMARY:Dynamic Learning in Strategic Pricing Games 
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/dynamic-learning-in-strategic-pricing-games-2/
LOCATION:E18-304\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20170221
DTEND;VALUE=DATE:20170222
DTSTAMP:20260407T110606
CREATED:20190627T212136Z
LAST-MODIFIED:20190627T212136Z
UID:10110-1487635200-1487721599@idss-stage.mit.edu
SUMMARY:Data Science: Data to Insights
DESCRIPTION:MIT Professional Education and IDSS again offer “Data Science: Data to Insights\,” a six-week online course focusing on analytics.
URL:https://idss-stage.mit.edu/calendar/data-science-data-to-insights-3/
CATEGORIES:Online events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170217T110000
DTEND;TZID=America/New_York:20170217T110000
DTSTAMP:20260407T110606
CREATED:20190627T212136Z
LAST-MODIFIED:20190627T212136Z
UID:10111-1487329200-1487329200@idss-stage.mit.edu
SUMMARY:Causal Discovery in Systems with Feedback Cycles
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/causal-discovery-in-systems-with-feedback-cycles-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
END:VCALENDAR