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Structured Prediction with Projection Oracles

NeurIPS 2019 · Learning theory and algorithms › Prediction and decision losses · approach: Consistency of surrogate losses · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Birkhoff-polytope projection and decoding instead of squared loss with permutation decoding (ablation)Label ranking · Label ranking datasetsHamming loss: 5.70 -> 5.10 (Authorship); 7.11 -> 4.65 (Glass); 19.26 -> 2.96 (Iris); 9.04 -> 5.88 (Vehicle); 10.57 -> 8.76 (Vowel); 1.Mixed
Use Birkhoff projection and decoding instead of unit cube projection and decoding (ablation)Label ranking · Label ranking datasetsHamming loss: 12.83 -> 5.10 (Authorship); 24.35 -> 4.65 (Glass); 27.78 -> 2.96 (Iris); 26.36 -> 5.88 (Vehicle); 43.71 -> 8.76 (Vowel)Helped
Use unit cube or row-stochastic matrices instead of Birkhoff polytope for decoding (ablation)Label ranking · Label rankingHamming lossHurt
Use Euclidean rather than KL projection (ablation)Projection-based label-ranking losses · Label rankingHamming lossNo clear effect
Use order-simplex projection and decoding instead of ridge regressionOrdinal regression · 16 ordinal-regression datasetsAverage MAE: 0.72 -> 0.43Helped
Add unit-cube projection to squared loss with order-simplex decoding (ablation)Ordinal regression · 16 ordinal-regression datasetsAverage MAE: 0.47 -> 0.45Helped
Replace unit-cube projection with order-simplex projection (ablation)Ordinal regression · 16 ordinal-regression datasetsAverage MAE: 0.45 -> 0.43Helped
Add order-simplex decoding to squared loss with rounding (ablation)Ordinal regression · 16 ordinal-regression datasetsAverage MAE: 0.72 -> 0.47Helped
Use knapsack-polytope projection and decoding instead of unit cube projection and decoding (ablation)Multilabel classification · BirdsF1-score: 38.87 -> 39.43Helped
Use knapsack-polytope projection and decoding instead of unit cube projection and decoding (ablation)Multilabel classification · EmotionsF1-score: 56.60 -> 62.57Helped
Use knapsack-polytope projection and decoding instead of unit cube projection and decoding (ablation)Multilabel classification · SceneF1-score: 61.06 -> 69.01Helped
Use knapsack-polytope projection and decoding instead of unit cube projection and decoding (ablation)Multilabel classification · Cal500F1-score: 34.62 -> 34.61Hurt

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