Dimitris Bertsimas

Dimitris Bertsimas is an American applied mathematician, and a professor in the Sloan School of Management at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts.

In 2005, Bertsimas was elected a member of the National Academy of Engineering for contributions to optimization theory and stochastic systems and innovative applications in financial engineering and transportation. Provided by Wikipedia
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  1. 1
    Probabilistic combinatorial optimization problems

    Probabilistic combinatorial optimization problems by Bertsimas, Dimitris

    Published 2005
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    Thesis
  2. 2
    A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave

    A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave by Bertsimas, Dimitris

    Published 2022
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    Article
  3. 3
    The probabilistic minimum spanning tree problem : Part I--complexity and combinatorial properties

    The probabilistic minimum spanning tree problem : Part I--complexity and combinatorial properties by Bertsimas, Dimitris

    Published 2009
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    Working Paper
  4. 4
    Transient and busy period analysis of the GI/G/1 queue : Part II, solution as a Hilbert problem

    Transient and busy period analysis of the GI/G/1 queue : Part II, solution as a Hilbert problem by Bertsimas, Dimitris

    Published 2009
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    Working Paper
  5. 5
    15.093 / 2.098 Optimization Methods (SMA 5213), Fall 2004

    15.093 / 2.098 Optimization Methods (SMA 5213), Fall 2004 by Bertsimas, Dimitris

    Published 2004
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  6. 6
    15.083J / 6.859 Integer Programming and Combinatorial Optimization, Fall 2004

    15.083J / 6.859 Integer Programming and Combinatorial Optimization, Fall 2004 by Bertsimas, Dimitris

    Published 2004
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  7. 7
    The Probabilistic Minimum Spanning Tree, Part II: Probabilistic Analysis and Asymptotic Results

    The Probabilistic Minimum Spanning Tree, Part II: Probabilistic Analysis and Asymptotic Results by Bertsimas, Dimitris J.

    Published 2004
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    Working Paper
  8. 8
    A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization

    A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization by Goyal, Vineet, Lu, Brian Y., Bertsimas, Dimitris J, Bertsimas, Dimitris J.

    Published 2016
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    Article
  9. 9
    Stochastic optimization in supply chain networks: averaging robust solutions

    Stochastic optimization in supply chain networks: averaging robust solutions by Bertsimas, Dimitris, Youssef, Nataly

    Published 2021
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    Article
  10. 10
    Certifiably optimal sparse principal component analysis

    Certifiably optimal sparse principal component analysis by Berk, Lauren, Bertsimas, Dimitris

    Published 2021
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    Article
  11. 11
    The voice of optimization

    The voice of optimization by Bertsimas, Dimitris, Stellato, Bartolomeo

    Published 2021
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    Article
  12. 12
    From Predictive to Prescriptive Analytics

    From Predictive to Prescriptive Analytics by Bertsimas, Dimitris, Kallus, Nathan

    Published 2021
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    Article
  13. 13
    Characterization of the equivalence of robustification and regularization in linear and matrix regression

    Characterization of the equivalence of robustification and regularization in linear and matrix regression by Bertsimas, Dimitris, Copenhaver, Martin S

    Published 2021
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    Article
  14. 14
    Optimizing influenza vaccine composition: A machine learning approach

    Optimizing influenza vaccine composition: A machine learning approach by Bandi, Hari, Bertsimas, Dimitris

    Published 2022
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    Article
  15. 15
    The backbone method for ultra-high dimensional sparse machine learning

    The backbone method for ultra-high dimensional sparse machine learning by Bertsimas, Dimitris, Digalakis, Vassilis

    Published 2022
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    Article
  16. 16
    World-class interpretable poker

    World-class interpretable poker by Bertsimas, Dimitris, Paskov, Alex

    Published 2022
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    Article
  17. 17
    Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme

    Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme by Bertsimas, Dimitris, Digalakis, Vassilis

    Published 2022
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    Article
  18. 18
    Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach

    Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach by Bertsimas, Dimitris, Koduri, Nihal

    Published 2022
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    Article
  19. 19
    Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization

    Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization by Bertsimas, Dimitris, Mundru, Nishanth

    Published 2022
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    Article
  20. 20
    Online Mixed-Integer Optimization in Milliseconds

    Online Mixed-Integer Optimization in Milliseconds by Bertsimas, Dimitris, Stellato, Bartolomeo

    Published 2022
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    Article

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