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Five MPI-SWS papers accepted at NIPS 2018

The following five MPI-SWS papers have been accepted to NIPS 2018, the flagship conference in machine learning: Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Teaching Inverse Reinforcement Learners via Features and Demonstrations Understanding the Role of Adaptivity in Machine Teaching: The Case of Version…

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Aastha Mehta invited to attend Rising Stars Workshop

MPI-SWS Ph.D. student Aastha Mehta has been selected to attend the Rising Stars Workshop to be held at MIT from October 28-30, 2018. She is one of 76 participants, and one of only three invited from a European university. Rising Stars is a prestigious workshop that provides mentoring to women graduate students and…

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Research Spotlight: Learning to interact with learning agents

Many real-world systems involve repeatedly making decisions under uncertainty—for instance, choosing one of the several products to recommend to a user in an online recommendation service, or dynamically allocating resources among available stock options in a financial market. Machine learning (ML) algorithms driving these systems typically operate under the assumption…

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MPI-SWS researchers receive QEST’18 Best Paper Award

Mahmoud Salamati and Rupak Majumdar have received the Best Paper Award at the 15th International Conference on Quantitative Evaluation of Systems (QEST 2018) for their paper entitled “Approximate Time Bounded Reachability for CTMCs and CTMDPs: A Lyapunov Approach” (with Sadegh Soudjani from Newcastle University).

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French Data Protection Authority CNIL Republishes Francis‘ Article

The French Data Protection Authority CNIL has recognized the benefits of Diffix anonymization by republishing an article by Paul Francis in which the utility of Diffix anonymization is highlighted. Diffix is the anonymization technology developed in joint research between Francis' group and Aircloak GmbH. Last year, CNIL published an article titled…

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