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Using the search engine ad placement problem as an example, we explain the central role of causal inference for the design of learning systems interacting with their environments.... Watch Video

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The presentation stresses important differences between machine learning and conventional optimisation approaches and proposes some solutions. The first part discusses the the... Watch Video

The statistical learning theory suggests to choose large capacity models that barely avoid over-fitting the training data. In that perspective, all datasets are small. Things become... Watch Video

This paper proposes an online solver of the dual formulation of support vector machines for structured output spaces. We apply it to sequence labelling using the exact and greedy... Watch Video

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