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DTSTART;TZID=America/New_York:20160412T160000
DTEND;TZID=America/New_York:20160412T160000
DTSTAMP:20260407T161304
CREATED:20190627T212156Z
LAST-MODIFIED:20190627T212156Z
UID:10152-1460476800-1460476800@idss-stage.mit.edu
SUMMARY:On Estimation with Strategic Sensors
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/on-estimation-with-strategic-sensors-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160408T110000
DTEND;TZID=America/New_York:20160408T110000
DTSTAMP:20260407T161304
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;VALUE=DATE:20160408
DTEND;VALUE=DATE:20160409
DTSTAMP:20260407T161304
CREATED:20190627T212157Z
LAST-MODIFIED:20200129T194207Z
UID:10154-1460073600-1460159999@idss-stage.mit.edu
SUMMARY:IDSS Workshop on Data\, Analytics\, and Risk in Finance
DESCRIPTION:This workshop focused on opportunities for big data and predictive analytics in finance and economics\, including new approaches to modeling\, measuring\, and understanding risk. \n\nRead the summary report (pdf)\nWatch the videos\nCheck out the reading list\n\nOverview\nTechnological advancements have transformed financial markets into increasingly complex and dynamic systems. Organizations including banks\, asset management firms\, information technology firms\, and regulatory agencies are all: increasingly interconnected; managing transactions at sub-millisecond time scales; and generating\, storing\, and managing masses of data. This creates challenges and opportunities when it comes to understanding and managing risk in financial systems — for example: How can we leverage big data to develop better analytical methods for predicting bubbles and collapses in financial systems? Can we use data to map and model interconnections across financials systems toward better understanding systemic risk and how disruptions propagate? What are the opportunities for creating new financial forecasting tools and risk metrics? \nThis workshop brought together stakeholders from across industry\, government and academia to discuss these opportunities and priorities for research and innovation in this area. The workshop focused on the following: \n\npriorities for financial firms and regulators in assessing and managing risk;\nopportunities for big data and machine learning in better understanding behavior and modeling the interconnections and complex dynamics in financial systems;\nusing statistical models and algorithms to improve decision-making and design policies;\nnovel applications for emerging technologies\, including blockchain and encryption techniques;\napplying new techniques to enable data sharing while managing privacy;\nopportunities to collaborate on developing resources\, open source tools and platforms\, and new predictive analytic metrics that enable a deeper understanding of risk and new approaches to monitoring risk and improving stability in financial markets.\n\nInvited participants brought perspectives from across disciplines including finance\, economics\, statistics and data science\, and social sciences. We used this workshop to explore innovative ideas at the intersection of these fields and generate an output document that summarizes challenges and priorities for research. \nAgenda and Videos\nOpening Remarks\nIntroductory remarks: Professor Munzer Dahleh\, Director of IDSS and Elizabeth Bruce\, Executive Director\, IDSS \n \nSession 1: Financial Systems: Risk and Resiliency\nThis session focused on understanding risk and resiliency in financial systems — key challenges and new opportunities. Issues of systemic risk\, interconnections\, and interdependencies across global financial networks and what is important for the future stability of these systems. \n  \nIntroduction to Panel by Professor Asu Ozdaglar (Director\, LIDS) \n\n\n  \n“Systemic Risk” by Professor Daron Acemoglu (Department of Economics\, MIT) \n\n  \nVIDEO NOT AVAILABLE\n“Big data challenges and opportunities in financial stability monitoring” by Dr. Mark Flood (Office of Financial Research) \n  \n“Five Questions about Systemic Risk” by Professor Simon Johnson (Sloan\, MIT) \n\n  \n“Why did we get it wrong? Subprime was small” by Dr. Paul Willen (Federal Reserve Bank of Boston) \n\n  \nFirst Moderated Discussion \n\n  \nDr. Amitabh Arora\, Head of Systemic Risk Group (Citibank)\nVIDEO  NOT AVAILABLE\n\n  \n“Analyzing Systemic Risk” by Dr. Stephen Malinak (Thomson Reuters) \n\n\n  \n“Risk Management for Asset Managers” by Mr. Paul Wojcik (T. Rowe Price) \n\n\n  \nSecond Moderated Discussion \n\n \nSession 2 \n\n\nDr. Darryll Hendricks\, Chief Operating Officer\, UBS Investment Bank\nVIDEO NOT AVAILABLE \n  \nDr. Ronald Kahn\, Global Head of Scientific Equity Research\, BlackRockProfessor\nVIDEO NOT AVAILABLE\n  \nProfessor Silvio Micali\, Electrical Engineering & Computer Science Department\, MIT\nVIDEO NOT AVAILABLE\n  \nJames Darby Nielson\, Managing Director of Quantitative Research\, Fidelity\nVIDEO NOT AVAILABLE\n\n\n\n\n  \nProfessor Sandy Pentland\, Director\, Connection Science & Human Dynamics labs\, MIT \n\n\n\n  \nThird Moderated Discussion \n\n\n  \nSession 3\nIntroduction to Panel Discussion by Professor John Guttag\, MIT CSAIL \n\n\n  \n\n“A Journey to Transform Insurance Industry Using Data Science”\nby Dr. Sid Dalal (AIG)\nVIDEO NOT AVAILABLE\n\n\n  \n“Trading Bitcoins” Professor Devavrat Shah (LIDS\, MIT) \n\n\n  \n“Enterprise Platforms” Peter Ferns (Goldman Sachs) \n\n\n  \nDr. Jake Xia\, Chief Risk Officer\, Harvard Management Company \n\n\n  \nClosing Remarks by Professor Munther Dahleh (IDSS\, MIT) \n\n\nReading List\nIn preparing for the “Data\, Analytics\, and Risk in Finance” workshop\, we compiled a sampling of papers and articles that provide opinions and perspectives on research\, trends and innovation in this area — including articles published by some of our invited speakers. \n\n“A new approach to financial regulation“\, Simon Levin and Andrew Lo\, PCAS (2015)\n“Survey of Systemic Risk Analytics”\, Andrew W. Lo and Mark D. Flood\n“Big data challenges and opportunities in financial stability monitoring” Flood\, Jagadish\, and Raschid\n“The Application of Visual Analytics to Financial Stability Monitoring” OFR Working Paper 2014-02c\, Mark D. Flood\, Victoria L. Lemieux\, Margaret Varga\, and B.L. William Wong\n“Contract as Automaton: The Computational Representation of Financial Agreements”\, OFR Working Paper 2015-04\, Mark D. Flood and Oliver R. Goodenough\n“The Network Origins of Large Economic Downturns”\, Daron Acemoglu\, Asuman Ozdaglar\, and Alireza Tahbaz-Salehi\n“Bayesian Regression and Bitcoin”\, Devavrat Shah and Kang Zhang\n“MIT’s Bitcoin-inspired ‘Enigma’ Lets Computers Mine Encrypted Data”\, Wired Magazine\, Sandy Pentland’s group.\n“Systemic risk in banking ecosystems”\, Andrew G. Haldane & Robert M. May\, Nature (2011)\n“Systemic Risk and Stability in Financial Networks” American Economic Review\, vol. 105\, no. 2\, pp. 564-608\, 2015. Daron Acemoglu\, Asuman Ozdaglar\, Alireza Tahbaz-Salehi\,\n“Andrew Lo on Volatility\, Trend Following\, and Why Traditional Financial Advice Is Incomplete”\, Journal of Financial Planning\, March 2016\n“Money Walks: Implicit Mobility Behavior and Financial Well-Being” Vivek Kumar Singh\, Burcin Bozkaya\, Alex Pentland\n“Rethinking the Financial Network” speech given by Andrew G Haldane\, Executive Director\, Financial Stability\, Bank of England at the Financial Student Association\, Amsterdam 28 April 2009
URL:https://idss-stage.mit.edu/calendar/idss-finance-workshop-2/
LOCATION:MIT Media Lab (E14-648)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160405T160000
DTEND;TZID=America/New_York:20160405T160000
DTSTAMP:20260407T161304
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10155-1459872000-1459872000@idss-stage.mit.edu
SUMMARY:Distributed Learning Dynamics Convergence in Routing Games
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/distributed-learning-dynamics-convergence-in-routing-games-2/
LOCATION:32-155\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160401T110000
DTEND;TZID=America/New_York:20160401T110000
DTSTAMP:20260407T161304
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:20160329T160000
DTEND;TZID=America/New_York:20160329T160000
DTSTAMP:20260407T161304
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10157-1459267200-1459267200@idss-stage.mit.edu
SUMMARY:Random Walks that Find Perfect Objects and the Lovasz Local Lemma
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/random-walks-that-find-perfect-objects-and-the-lovasz-local-lemma-2/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160322T160000
DTEND;TZID=America/New_York:20160322T160000
DTSTAMP:20260407T161304
CREATED:20190627T212158Z
LAST-MODIFIED:20190627T212158Z
UID:10158-1458662400-1458662400@idss-stage.mit.edu
SUMMARY:Generalized Independent Component Analysis over Finite Alphabets
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/generalized-independent-component-analysis-over-finite-alphabets-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160318T110000
DTEND;TZID=America/New_York:20160318T110000
DTSTAMP:20260407T161304
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:20160317T130000
DTEND;TZID=America/New_York:20160317T130000
DTSTAMP:20260407T161304
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10160-1458219600-1458219600@idss-stage.mit.edu
SUMMARY:Universal Laws and Architectures: Theory and Lessons from Brains\, Nets\, Hearts\, Bugs\, Grids\, Flows\, and Zombies
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/universal-laws-and-architectures-theory-and-lessons-from-brains-nets-hearts-bugs-grids-flows-and-zombies-3/
LOCATION:32-144\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160316T160000
DTEND;TZID=America/New_York:20160316T160000
DTSTAMP:20260407T161304
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10161-1458144000-1458144000@idss-stage.mit.edu
SUMMARY:The Central Role of Physical Modeling in Systems Design
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-central-role-of-physical-modeling-in-systems-design-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160315T160000
DTEND;TZID=America/New_York:20160315T160000
DTSTAMP:20260407T161304
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10162-1458057600-1458057600@idss-stage.mit.edu
SUMMARY:Why Only Us: The Evolution of Language
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/why-only-us-the-evolution-of-language-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160309T160000
DTEND;TZID=America/New_York:20160309T160000
DTSTAMP:20260407T161304
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10163-1457539200-1457539200@idss-stage.mit.edu
SUMMARY:Geeks and Greeks: The Making of an Epic Graphic Novel about MIT Hacks – Steve Altes (’84) and Andy Fish
DESCRIPTION:An evening with Steve Altes and Andy Fish\, creators of the MIT-themed humorous graphic novel\, Geeks and Greeks\, a story of student life at MIT\, told through the prism of high-tech hacks.
URL:https://idss-stage.mit.edu/calendar/geeks-and-greeks-the-making-of-an-epic-graphic-novel-about-mit-hacks-steve-altes-84-and-andy-fish-2/
LOCATION:10-250\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160308T160000
DTEND;TZID=America/New_York:20160308T160000
DTSTAMP:20260407T161304
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10164-1457452800-1457452800@idss-stage.mit.edu
SUMMARY:Randomized Controlled Trials and Policy Making in Developing Countries
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/randomized-controlled-trials-and-policy-making-in-developing-countries-2/
LOCATION:32-155\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160304T110000
DTEND;TZID=America/New_York:20160304T110000
DTSTAMP:20260407T161304
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:20160301T160000
DTEND;TZID=America/New_York:20160301T160000
DTSTAMP:20260407T161304
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10166-1456848000-1456848000@idss-stage.mit.edu
SUMMARY:On Programs that Learn to Write Programs
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/on-programs-that-learn-to-write-programs-2/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160226T110000
DTEND;TZID=America/New_York:20160226T110000
DTSTAMP:20260407T161304
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:20260407T161304
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:20160216T160000
DTEND;TZID=America/New_York:20160216T160000
DTSTAMP:20260407T161304
CREATED:20190627T212204Z
LAST-MODIFIED:20190627T212204Z
UID:10169-1455638400-1455638400@idss-stage.mit.edu
SUMMARY:How to Predict When Estimation is Hard: Algorithms for Learning on Graphs
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/how-to-predict-when-estimation-is-hard-algorithms-for-learning-on-graphs-3/
LOCATION:32-G449\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160212T110000
DTEND;TZID=America/New_York:20160212T110000
DTSTAMP:20260407T161304
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:20260407T161304
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:20160202T160000
DTEND;TZID=America/New_York:20160202T160000
DTSTAMP:20260407T161304
CREATED:20190627T212205Z
LAST-MODIFIED:20190627T212205Z
UID:10172-1454428800-1454428800@idss-stage.mit.edu
SUMMARY:Nonlinear Identification and Control using Convex 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/nonlinear-identification-and-control-using-convex-optimization-3/
LOCATION:32-D677\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160128
DTEND;VALUE=DATE:20160130
DTSTAMP:20260407T161304
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10173-1453939200-1454111999@idss-stage.mit.edu
SUMMARY:LIDS Student Conference
DESCRIPTION:
URL:https://idss-stage.mit.edu/calendar/lids-student-conference-4/
LOCATION:32-141\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151215T160000
DTEND;TZID=America/New_York:20151215T160000
DTSTAMP:20260407T161304
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10174-1450195200-1450195200@idss-stage.mit.edu
SUMMARY:Minimum Energy to Send k Bits Over Multiple-Antenna Fading Channels
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/minimum-energy-to-send-k-bits-over-multiple-antenna-fading-channels-2/
LOCATION:32-D677\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151211T140000
DTEND;TZID=America/New_York:20151211T140000
DTSTAMP:20260407T161304
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10176-1449842400-1449842400@idss-stage.mit.edu
SUMMARY:History in the Making: The Outcome of the Paris Climate Change Negotiations
DESCRIPTION:A panel discussion moderated by Susan Solomon\, MIT EAPS Professor of Atmospheric Chemistry. Panel includes Noelle Selin\, Jessika Trancik\, and Henry Jacoby.
URL:https://idss-stage.mit.edu/calendar/history-in-the-making-the-outcome-of-the-paris-climate-change-negotiations-2/
LOCATION:54-915\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151211T110000
DTEND;TZID=America/New_York:20151211T110000
DTSTAMP:20260407T161304
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:20151208T160000
DTEND;TZID=America/New_York:20151208T160000
DTSTAMP:20260407T161304
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10177-1449590400-1449590400@idss-stage.mit.edu
SUMMARY:Wiki Surveys: Open and Quantifiable Social Data Collection
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/wiki-surveys-open-and-quantifiable-social-data-collection-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151207T160000
DTEND;TZID=America/New_York:20151207T160000
DTSTAMP:20260407T161304
CREATED:20190627T212207Z
LAST-MODIFIED:20190829T195842Z
UID:10178-1449504000-1449504000@idss-stage.mit.edu
SUMMARY:CIR Seminar Series
DESCRIPTION:
URL:https://idss-stage.mit.edu/calendar/cir-seminar-series-2/
LOCATION:4-231\, United States
CATEGORIES:IDSS Special Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151204T110000
DTEND;TZID=America/New_York:20151204T110000
DTSTAMP:20260407T161304
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:20151201T160000
DTEND;TZID=America/New_York:20151201T160000
DTSTAMP:20260407T161304
CREATED:20190627T212208Z
LAST-MODIFIED:20190627T212208Z
UID:10180-1448985600-1448985600@idss-stage.mit.edu
SUMMARY:Learning from Geometry
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/learning-from-geometry-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151124T160000
DTEND;TZID=America/New_York:20151124T160000
DTSTAMP:20260407T161304
CREATED:20190627T212208Z
LAST-MODIFIED:20190627T212208Z
UID:10181-1448380800-1448380800@idss-stage.mit.edu
SUMMARY:Coupling\, Entropy and Costa’s Corner-Point Conjecture
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/coupling-entropy-and-costas-corner-point-conjecture-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
END:VCALENDAR