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January 2023
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Moshe Babaioff - Complexity-Performance Tradeoffs in Mechanism Design
05/01/2023 -
13:30
to
14:30
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Bracha Laufer - Leveraging Structures in Complex Spaces for Robust, Reliable and Efficient Learning
12/01/2023 -
11:30
to
12:30
Ido Nachum - A Walk Between the Theoretical and Empirical Domains of Machine Learning
12/01/2023 -
13:30
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14:30
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Itay Safran - The Interconnection Between Approximation, Optimization and Generalization in Deep Learning Theory.
19/01/2023 -
13:30
to
14:30
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Amit Levi - On structure and performance in the era of (really) big data
26/01/2023 -
11:30
to
12:30
Amos Korman - An Algorithmic Perspective to Collective Behavior
26/01/2023 -
13:30
to
14:30
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