Media Summary: Please find more details about the seminar on our webpage: ... the presentation of our research on the 2021 Virtual INFORMS Optimization Society Conference Monday, March 29, 11am-12noon EDT Speaker: Daniel Kuhn, EPFL We ...

Frauke Liers Data Driven Distributional - Detailed Analysis & Overview

Please find more details about the seminar on our webpage: ... the presentation of our research on the 2021 Virtual INFORMS Optimization Society Conference Monday, March 29, 11am-12noon EDT Speaker: Daniel Kuhn, EPFL We ... Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Optimization in Energy Systems", 25-29 June ... Date: Mon. April 20, 2026 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of As part of the UC Berkeley School of Public Health's weekend-long 75th-anniversary celebration, Mark van der Laan, the ...

Event: DTU Summer School 2023 on "Future Energy Systems: Advances in OR and AI", 19-23 June 2023, Copenhagen, Denmark ... Organizers: Timm Faulwasser, TU Dortmund, Germany Thulasi Mylvaganam, Imperial College London, UK Date and Time: ... Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ... Publication Title: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Article Title: A talk by Billur Engin & Philip Soo from Prolific. Prolific helps the world's leading AI companies evaluate and improve their models, ... Alyosha Efros (UC Berkeley) Topics in Intelligence: World ...

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Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..
Data-driven Piecewise Linearization for Distribution Three-phase Stochastic Power Flow
A General Framework for Optimal Data-Driven Optimization
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2
FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins
Data-driven decision making in health: Why we need a statistical revolution
Introduction to Causal Graphical Models: Graphs, d-separation, do-calculus
Lesia Mitridati: Stochastic and Data-Driven Optimization (1/2)
IFAC TC on Optimal Control: Data-driven Methods in Control
Differentiable Programming for Data-driven Modeling, Optimization, and Control
IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties
From Strategy to Algorithms: Better Decisions with Human Data at Scale - Data Science Festival
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Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..

Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..

Please find more details about the seminar on our webpage: https://sites.google.com/view/row-series/home.

Data-driven Piecewise Linearization for Distribution Three-phase Stochastic Power Flow

Data-driven Piecewise Linearization for Distribution Three-phase Stochastic Power Flow

... the presentation of our research on the

A General Framework for Optimal Data-Driven Optimization

A General Framework for Optimal Data-Driven Optimization

2021 Virtual INFORMS Optimization Society Conference Monday, March 29, 11am-12noon EDT Speaker: Daniel Kuhn, EPFL We ...

Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2

Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2

Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Optimization in Energy Systems", 25-29 June ...

FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins

FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins

Date: Mon. April 20, 2026 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of

Data-driven decision making in health: Why we need a statistical revolution

Data-driven decision making in health: Why we need a statistical revolution

As part of the UC Berkeley School of Public Health's weekend-long 75th-anniversary celebration, Mark van der Laan, the ...

Introduction to Causal Graphical Models: Graphs, d-separation, do-calculus

Introduction to Causal Graphical Models: Graphs, d-separation, do-calculus

Spencer Gordon (Caltech) ...

Lesia Mitridati: Stochastic and Data-Driven Optimization (1/2)

Lesia Mitridati: Stochastic and Data-Driven Optimization (1/2)

Event: DTU Summer School 2023 on "Future Energy Systems: Advances in OR and AI", 19-23 June 2023, Copenhagen, Denmark ...

IFAC TC on Optimal Control: Data-driven Methods in Control

IFAC TC on Optimal Control: Data-driven Methods in Control

Organizers: Timm Faulwasser, TU Dortmund, Germany Thulasi Mylvaganam, Imperial College London, UK Date and Time: ...

Differentiable Programming for Data-driven Modeling, Optimization, and Control

Differentiable Programming for Data-driven Modeling, Optimization, and Control

Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ...

IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties

IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties

Publication Title: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Article Title:

From Strategy to Algorithms: Better Decisions with Human Data at Scale - Data Science Festival

From Strategy to Algorithms: Better Decisions with Human Data at Scale - Data Science Festival

A talk by Billur Engin & Philip Soo from Prolific. Prolific helps the world's leading AI companies evaluate and improve their models, ...

Surface Data vs. Deep Data

Surface Data vs. Deep Data

Alyosha Efros (UC Berkeley) https://simons.berkeley.edu/talks/alyosha-efros-uc-berkeley-2026-06-11 Topics in Intelligence: World ...