Fwd: Season 7 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

[Airo Young]

Dear AIROYoungers,

We forward you the announcement of the new incoming season of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization. You can find all the details on the tentative program below.

Best,

The AIROYoung board

---------- Forwarded message ---------
Da: Dolores Romero Morales <drm...@cbs.dk>
Date: mar 16 gen 2024, 20:59
Subject: Season 7 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
To: alice.r...@gmail.com <alice.r...@gmail.com>

Dear Alice,

 

I hope this can be posted in the AIROYoung channels.

 

Best,

Dolores.

 

//

 

Dear colleagues, 

 

We are happy to announce that on February 12, we are starting Season 7 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/. Find below the tentative program. This seminar series is an activity from the EU H2020 MSCA RISE NeEDS project, riseneeds.eu, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. 

 

Tentative Program

 

All talks are 16.30-17.30 CET

 

February 12, 2024

Shiqian Ma, Rice University, USA

Title: Decentralized Bilevel Optimization

Link to talk: https://eu.bbcollab.com/guest/16aa78a6789c46c39744a51293653b13

 

February 19, 2024

Stanislav Uryasev, Stony Brook University, USA

Title: Risk Quadrangle and Applications: Support Vector Regression (SVR) 

Link to talk: https://eu.bbcollab.com/guest/a4b0f61d3ca245c28f1a4b183a48b800

 

February 26, 2024

Nathan Kallus, Cornell University, USA

Title: Learning and Optimization: Separate or Integrate?

Link to talk: https://eu.bbcollab.com/guest/5f6b2827c847432ab35034deb752df08

 

March 4, 2024

XIV YOUNG 

Nathan Justin (University of Southern California, USA)

Title: Learning Optimal Classification Trees Robust to Distribution Shifts

José Ángel Martín Baos (University of Castilla-La Mancha, Spain)

Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance
Ioana Molan (Trier University, Germany)

Title: Learning the Follower’s Objective Function in Sequential Bilevel Games

Link to talk: https://eu.bbcollab.com/guest/f36b823fbfc74849848d66808d8db459

 

March 11, 2024

Pooja Dewan, Vice President, Chief Data and Analytics Officer, Otis Elevator Company, USA

Title: Role of Analytics Professionals in Building a Data Driven Culture

Link to talk: https://eu.bbcollab.com/guest/8d60cb95de7e431e83be6381f82e4e23

 

March 18, 2024

Bernardino Romera Paredes, Google DeepMind, UK

Title: FunSearch: Discovering new mathematics and algorithms using Large Language Models

Link to talk: https://eu.bbcollab.com/guest/5cd1f5545f6642939131e5035de434d3

 

April 8, 2024

XV YOUNG

Cheng Peng (Stony Brook University, USA)

Title: Factor Model of Mixtures

Haofeng Zhang (Columbia University, USA)

Title: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Giulia Di Teodoro (Sapienza University of Rome, Italy)

Title: Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree

Link to talk: https://eu.bbcollab.com/guest/3ef5ca638bf54c85aee046eb54559d2e

 

April 22, 2024

Güzin Bayraksan, Department of Integrated Systems Engineering, The Ohio State University, USA

Title: Integrating Stochastic Optimization and Machine Learning via Residuals

Link to talk: https://eu.bbcollab.com/guest/1b732023cea64e6da05b1e0d4d587578

 

April 29, 2024

XVI YOUNG

Nuria Gómez Vargas (University of Sevilla, Spain)

Title: A predict-and-optimize approach to profit-driven churn prevention

Maria Eduarda Pinheiro (Trier University, Germany)

Title: Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines

Bahar Taşkesen (EFPL, Switzerland)

Title: Reliable Data-driven Decision Making

Link to talk: https://eu.bbcollab.com/guest/f61afb4993e9440bb387b74ef86355d7

 

May 6, 2024

Pierre Pinson, Imperial College, UK

Title: Online learning and decision-making for renewables participating in electricity markets

Link to talk: https://eu.bbcollab.com/guest/c4046bb5460245e48247284d998a25c2

 

Looking forward to e-seeing you there!

 

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

 

Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla

Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla

Thomas Halskov, Copenhagen Business School

Dolores Romero Morales, Copenhagen Business School