Cambridge Ellis Unit Seminar Series - Dr Manuel Gomez Rodriguez - 31 Jan 2023- 2pm

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• Speaker to be confirmed
• Tuesday 31 January 2023, 14:00-15:00
• https://eng-cam.zoom.us/j/82116546594?pwd=RUZQaFI4VndZQ3NRNmtnZmpzTVdtdz09.

If you have a question about this talk, please contact Kimberly Cole.

The Cambridge ELLIS Unit Seminar Series holds talks by leading researchers in the area of machine learning and AI. Our first  speaker of 2023 will be Dr. Manuel Gomez Rodriguez. Details of his talk can be found below.

Title: “Improving Decision Making with Machine Learning, Provably”

Abstract: Automated decision support systems promise to help human experts solve tasks more efficiently and accurately. However, existing systems typically require experts to understand when to cede agency to the system or when to exercise their own agency.  Moreover, if the experts develop a misplaced trust in the system, their performance may worsen. In this talk, I will discuss the development of automated decision support systems that, by design, do not require experts to understand when each of their recommendations is accurate to improve their performance. Moreover, I will present both theoretical and experimental results that demonstrate that such decision support systems are robust to the accuracy of the machine learning models they rely on, however, the amount of human effort they help reducing does depend on their accuracy.

Bio: Manuel Gomez Rodriguez is a tenured faculty at the Max Planck Institute for Software Systems (MPI-SWS). His research interests  lie in the development of human-centric machine learning models and algorithms. He has co-authored over 50 publications in top-tier conferences (NeurIPS, ICML , UAI, AISTATS , AAAI, KDD , WWW) and journals (PNAS, Nature Communications, JMLR , TMLR). Manuel is an ELLIS Fellow and has received several recognitions for his research, including an ERC Starting Grant, an outstanding Paper Award at NeurIPS’13 and a Best Research Paper Honorable Mention at KDD ’10 and WWW ’17. He has served as Area Chair and/or Senior Area Chair for every major conference in machine learning, data mining and the Web. He is also an Action Editor for JMLR . Manuel holds a M.S. and a Ph.D. in Electrical Engineering from Stanford University (2009 and 2013) and a B.S. in Electrical Engineering from University Carlos III in Madrid, Spain (2006).

This talk is part of the Cambridge Ellis Unit series.

This talk is included in these lists:

• Cambridge Ellis Unit
• Hanchen DaDaDash
• Interested Talks
• https://eng-cam.zoom.us/j/82116546594?pwd=RUZQaFI4VndZQ3NRNmtnZmpzTVdtdz09

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