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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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neither guaranteed (optimism) nor impossible (pessimism). MePhiS aims at (1) reinterpreting ethical and other philosophical issues by emphasizing their entanglement with suffering; (2) integrating
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leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in
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geometry. Additionally, we leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those