Download lean/OAI/Probability/PosteriorReplicas/Information/EntropyLossTest.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.18 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/PosteriorReplicas/Information/EntropyLossTest.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/PosteriorReplicas/Information/EntropyLossTest.lean
-
curl -L -o EntropyLossTest.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/PosteriorReplicas/Information/EntropyLossTest.lean
2.18 kB
| import OAI.Probability.PosteriorReplicas.Information.EntropyTest | |
| namespace OAI | |
| open MeasureTheory ProbabilityTheory InformationTheory Set Filter | |
| open scoped ENNReal NNReal | |
| noncomputable section | |
| namespace PosteriorReplicas | |
| lemma entropy_loss_test {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] | |
| (μ ν : Measure X) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] | |
| (hkl : klDiv μ ν ≠ ∞) {ψ : X → Y} (hψ : Measurable ψ) | |
| {g : Y → ℝ} (hg : Measurable g) | |
| (he : Integrable (fun y => Real.exp (g y)) (ν.map ψ)) | |
| (hmean : (∫ y, Real.exp (g y) ∂ν.map ψ) ≤ 1) | |
| (herr : Integrable (fun x => max (llr μ ν x - g (ψ x)) 0) μ) : | |
| Integrable (fun x => g (ψ x)) μ ∧ | |
| Integrable (fun x => llr μ ν x - g (ψ x)) μ ∧ | |
| (klDiv μ ν).toReal ≤ (klDiv (μ.map ψ) (ν.map ψ)).toReal + | |
| ∫ x, llr μ ν x - g (ψ x) ∂μ := by | |
| have hkl' : klDiv (μ.map ψ) (ν.map ψ) ≠ ∞ := ne_top_of_le_ne_top hkl (klDiv_map_le μ ν hψ) | |
| obtain ⟨hac,hllr⟩ := klDiv_ne_top_iff.mp hkl | |
| have hp := (entropy_test_positive_integrable (μ.map ψ) (ν.map ψ) hkl' hg he).comp_measurable hψ | |
| have hb := (hllr.norm.add hp).add herr | |
| have hgi : Integrable (fun x => g (ψ x)) μ := by | |
| apply hb.mono' (hg.comp hψ).aestronglyMeasurable | |
| apply ae_of_all | |
| intro x | |
| simp only [Pi.add_apply, Function.comp_def, Real.norm_eq_abs] | |
| apply abs_le.mpr | |
| constructor | |
| · have h₁ := neg_abs_le (llr μ ν x) | |
| have h₂ := le_max_left (llr μ ν x-g (ψ x)) 0 | |
| have h₃ := le_max_right (g (ψ x)) 0 | |
| linarith | |
| · have h₁ := le_max_left (g (ψ x)) 0 | |
| have h₂ := abs_nonneg (llr μ ν x) | |
| have h₃ := le_max_right (llr μ ν x-g (ψ x)) 0 | |
| linarith | |
| refine ⟨hgi,hllr.sub hgi,?_⟩ | |
| have hgm : Integrable g (μ.map ψ) := (integrable_map_measure hg.aestronglyMeasurable hψ.aemeasurable).mpr hgi | |
| have ht := entropy_test_normalized (μ.map ψ) (ν.map ψ) hkl' hgm he hmean | |
| rw [integral_map hψ.aemeasurable hg.aestronglyMeasurable] at ht | |
| rw [toReal_klDiv_of_measure_eq hac (by simp), integral_sub hllr hgi] | |
| linarith | |
| end PosteriorReplicas | |
| end | |
| end OAI | |