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Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications
Topological analysis of the magnetic field in simulated plasmas allows the study of various physical phenomena in a wide range of settings.
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank
Presentation bias is one of the key challenges when learning from implicit feedback in search engines, as it confounds the relevance signal with uninformative signals due to position in the ranking, saliency, and other presentation factors.
A General Framework for Counterfactual Learning-to-Rank
Specifically, we derive a relaxation for propensity-weighted rank-based metrics which is subdifferentiable and thus suitable for gradient-based optimization.
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