ARCHIMEDES Researchers’ presentations
The ARCHIMEDES researchers delivered talks on a multitude of topics, covering the six main themes of ARCHIMEDES: Causality and Fairness, Game Theory/Optimization/Multi-Agent Learning, Machine Learning and Computer Vision, Machine Learning and Life Sciences, Machine Learning and Natural Language Processing, and Machine Learning Foundations. All talks were well attended by our PhD fellows and visiting researchers.
ARCHIMEDES Researchers’ presentations
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The linguistic aspect of resources |
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Artificial Intelligence in Digital Pathology and Precision Oncology |
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Game Theoretic Problems with learning |
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Principled Methods for Learning with Noisy Data |
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Mixtures in Static and Dynamic Machine Learning Problems |
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Vision through Research at Archimedes |
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Counting problems: complexity and algorithms (learning augmented) |
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Fairness in Graphs |
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Information and Algorithmic Integrity |
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The ingredients of a Big AI in healthcare |
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Higher-Order Deep Learning: Towards learning from multiway data of arbitrary geometry |
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The training Landscape of Artificial Intelligence: from Empirical Risk Minimization to Learning in Games |
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Algorithms and Learning in game-theoretic environments |
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Research Directions in Data-Driven Mechanism and Algorithm Design |
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Introduction to Network Neuroscience |
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Computation and the Brain |
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Game Theory& Machine Learning |
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The Disparate Effects of Recommending to Strategic Users |
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AI and Language Models |
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Learning in Games |
