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DTSTART;TZID=America/New_York:20160429T110000
DTEND;TZID=America/New_York:20160429T110000
DTSTAMP:20260517T133344
CREATED:20190627T212155Z
LAST-MODIFIED:20190627T212155Z
UID:10148-1461927600-1461927600@idss-stage.mit.edu
SUMMARY:Double Machine Learning: Improved Point and Interval Estimation of Treatment and Causal Parameters
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/double-machine-learning-improved-point-and-interval-estimation-of-treatment-and-causal-parameters-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160422T110000
DTEND;TZID=America/New_York:20160422T110000
DTSTAMP:20260517T133344
CREATED:20190627T212155Z
LAST-MODIFIED:20190627T212155Z
UID:10149-1461322800-1461322800@idss-stage.mit.edu
SUMMARY:Recent Advances in Trend Filtering
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/recent-advances-in-trend-filtering-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160415T110000
DTEND;TZID=America/New_York:20160415T110000
DTSTAMP:20260517T133344
CREATED:20190627T212156Z
LAST-MODIFIED:20190627T212156Z
UID:10151-1460718000-1460718000@idss-stage.mit.edu
SUMMARY:The Energy of Data
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/the-energy-of-data-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160408T110000
DTEND;TZID=America/New_York:20160408T110000
DTSTAMP:20260517T133344
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10153-1460113200-1460113200@idss-stage.mit.edu
SUMMARY:Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity
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/confidence-intervals-for-high-dimensional-linear-regression-minimax-rates-and-adaptivity-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160401T110000
DTEND;TZID=America/New_York:20160401T110000
DTSTAMP:20260517T133344
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10156-1459508400-1459508400@idss-stage.mit.edu
SUMMARY:Sub-Gaussian Mean Estimators
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/sub-gaussian-mean-estimators-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160318T110000
DTEND;TZID=America/New_York:20160318T110000
DTSTAMP:20260517T133344
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10159-1458298800-1458298800@idss-stage.mit.edu
SUMMARY:Pairwise Comparison Models for High-Dimensional Ranking
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/pairwise-comparison-models-for-high-dimensional-ranking-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160304T110000
DTEND;TZID=America/New_York:20160304T110000
DTSTAMP:20260517T133344
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10165-1457089200-1457089200@idss-stage.mit.edu
SUMMARY:On Complex Supervised Learning Problems\, and On Ranking and Choice Models
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/on-complex-supervised-learning-problems-and-on-ranking-and-choice-models-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160226T110000
DTEND;TZID=America/New_York:20160226T110000
DTSTAMP:20260517T133344
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10167-1456484400-1456484400@idss-stage.mit.edu
SUMMARY:On Shape Constrained Estimation
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/on-shape-constrained-estimation-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160219T110000
DTEND;TZID=America/New_York:20160219T110000
DTSTAMP:20260517T133344
CREATED:20190627T212204Z
LAST-MODIFIED:20190627T212204Z
UID:10168-1455879600-1455879600@idss-stage.mit.edu
SUMMARY:Incremental Methods for Additive Convex Cost Optimization
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/incremental-methods-for-additive-convex-cost-optimization-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160212T110000
DTEND;TZID=America/New_York:20160212T110000
DTSTAMP:20260517T133344
CREATED:20190627T212205Z
LAST-MODIFIED:20190627T212205Z
UID:10170-1455274800-1455274800@idss-stage.mit.edu
SUMMARY:Principal Components Analysis in Light of the Spiked Model
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/principal-components-analysis-in-light-of-the-spiked-model-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160205T110000
DTEND;TZID=America/New_York:20160205T110000
DTSTAMP:20260517T133344
CREATED:20190627T212205Z
LAST-MODIFIED:20190627T212205Z
UID:10171-1454670000-1454670000@idss-stage.mit.edu
SUMMARY:Large Average Submatrices of a Gaussian Random Matrix: Landscapes and Local Optima
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/large-average-submatrices-of-a-gaussian-random-matrix-landscapes-and-local-optima-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151211T110000
DTEND;TZID=America/New_York:20151211T110000
DTSTAMP:20260517T133344
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10175-1449831600-1449831600@idss-stage.mit.edu
SUMMARY:Efficient Optimal Strategies for Universal Prediction
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/efficient-optimal-strategies-for-universal-prediction-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151204T110000
DTEND;TZID=America/New_York:20151204T110000
DTSTAMP:20260517T133344
CREATED:20190627T212207Z
LAST-MODIFIED:20190627T212207Z
UID:10179-1449226800-1449226800@idss-stage.mit.edu
SUMMARY:Next Generation Missing Data Methodology
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/next-generation-missing-data-methodology-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151113T110000
DTEND;TZID=America/New_York:20151113T110000
DTSTAMP:20260517T133344
CREATED:20190627T212214Z
LAST-MODIFIED:20190627T212214Z
UID:10184-1447412400-1447412400@idss-stage.mit.edu
SUMMARY:Expansion of biological pathways by integrative Genomics
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/expansion-of-biological-pathways-by-integrative-genomics-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151106T110000
DTEND;TZID=America/New_York:20151106T110000
DTSTAMP:20260517T133344
CREATED:20190627T212214Z
LAST-MODIFIED:20190627T212214Z
UID:10186-1446807600-1446807600@idss-stage.mit.edu
SUMMARY:On a High-Dimensional Random Graph Process
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/on-a-high-dimensional-random-graph-process-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151030T110000
DTEND;TZID=America/New_York:20151030T110000
DTSTAMP:20260517T133344
CREATED:20190627T212216Z
LAST-MODIFIED:20190627T212216Z
UID:10190-1446202800-1446202800@idss-stage.mit.edu
SUMMARY:MOCCA: a primal/dual algorithm for nonconvex composite functions with applications to CT imaging
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/mocca-a-primal-dual-algorithm-for-nonconvex-composite-functions-with-applications-to-ct-imaging-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151023T110000
DTEND;TZID=America/New_York:20151023T110000
DTSTAMP:20260517T133344
CREATED:20190627T212216Z
LAST-MODIFIED:20190627T212216Z
UID:10192-1445598000-1445598000@idss-stage.mit.edu
SUMMARY:Ranking and Embedding From Pairwise Comparisons
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/ranking-and-embedding-from-pairwise-comparisons-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151016T110000
DTEND;TZID=America/New_York:20151016T110000
DTSTAMP:20260517T133344
CREATED:20190627T212217Z
LAST-MODIFIED:20190627T212217Z
UID:10194-1444993200-1444993200@idss-stage.mit.edu
SUMMARY:Causal Inference with Random Forests
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-inference-with-random-forests/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151009T110000
DTEND;TZID=America/New_York:20151009T110000
DTSTAMP:20260517T133344
CREATED:20190627T212217Z
LAST-MODIFIED:20190627T212217Z
UID:10196-1444388400-1444388400@idss-stage.mit.edu
SUMMARY:Discovering hidden structures in complex 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/discovering-hidden-structures-in-complex-networks/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151002T110000
DTEND;TZID=America/New_York:20151002T110000
DTSTAMP:20260517T133344
CREATED:20190627T212218Z
LAST-MODIFIED:20190627T212218Z
UID:10198-1443783600-1443783600@idss-stage.mit.edu
SUMMARY:Fast algorithms and (other) min-max optimal algorithms for mixed regression
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-algorithms-and-other-min-max-optimal-algorithms-for-mixed-regression/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20150925T110000
DTEND;TZID=America/New_York:20150925T110000
DTSTAMP:20260517T133344
CREATED:20190627T212219Z
LAST-MODIFIED:20190627T212219Z
UID:10200-1443178800-1443178800@idss-stage.mit.edu
SUMMARY:Some Fundamental Ideas for Causal Inference on Large 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/some-fundamental-ideas-for-causal-inference-on-large-networks/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20150911T110000
DTEND;TZID=America/New_York:20150911T110000
DTSTAMP:20260517T133344
CREATED:20190627T212223Z
LAST-MODIFIED:20190627T212223Z
UID:10203-1441969200-1441969200@idss-stage.mit.edu
SUMMARY:An Extended Frank-Wolfe Method with Application to Low-Rank Matrix Completion
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/an-extended-frank-wolfe-method-with-application-to-low-rank-matrix-completion/
LOCATION:32-124\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
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