import OAI.Probability.GaussianReplacement.StreamSphere import OAI.Probability.GaussianRegression.Blocks namespace OAI open MeasureTheory ProbabilityTheory Set Filter open scoped ENNReal NNReal RealInnerProductSpace Topology noncomputable section universe u namespace NoiselessRegression open InnerProductSpace open scoped Pointwise namespace Learner lemma run_congr_labels {d M T : ℕ} {Ω : Type u} (L : Learner d M T Ω) (s t : UnitSphere d) (ω : Ω) (x : Samples d T) (h : ∀ i, ⟪x i,s.val⟫ = ⟪x i,t.val⟫) (n : ℕ) : L.run s ω x n = L.run t ω x n := by induction n with | zero => rfl | succ n ih => simp only [run, ih] split · rfl · split · rw [h] · rfl lemma estimate_congr_labels {d M T : ℕ} {Ω : Type u} (L : Learner d M T Ω) (s t : UnitSphere d) (ω : Ω) (x : Samples d T) (h : ∀ i, ⟪x i,s.val⟫ = ⟪x i,t.val⟫) : L.estimate s ω x = L.estimate t ω x := by simp only [estimate, terminal, run_congr_labels L s t ω x h] lemma angularSuccess_nullMeasurable {d M T : ℕ} {Ω : Type u} [MeasurableSpace Ω] (L : Learner d M T Ω) (ρ : Measure Ω) (ε : ℝ) (hL : L.Admissible ρ) : NullMeasurableSet {z : UnitSphere d × (Ω × Samples d T) | angularError z.1 (L.estimate z.1 z.2.1 z.2.2) ≤ ε} ((uniformSphere d).prod (ρ.prod (sampleLaw d T))) := by apply nullMeasurableSet_le _ aemeasurable_const exact Real.continuous_arccos.measurable.comp_aemeasurable ((measurable_subtype_coe.comp_aemeasurable hL.uniform_experiment).inner (measurable_subtype_coe.comp measurable_fst).aemeasurable) lemma linear_success_bound {d M T : ℕ} {Ω : Type u} [MeasurableSpace Ω] (L : Learner d M T Ω) (ρ : Measure Ω) [IsProbabilityMeasure ρ] (hd : 0 < d) (hT : 4*T ≤ d) {ε : ℝ} (hε : ε ≤ 1/10) (hL : L.Admissible ρ) : L.uniformSuccess ρ ε ≤ ENNReal.ofReal (21/32 : ℝ) := by classical let : NeZero d := ⟨hd.ne'⟩ have hmeas := ae_fiber_aemeasurable hL.uniform_experiment unfold uniformSuccess refine (prod_null_set_bound (L.angularSuccess_nullMeasurable ρ ε hL) (c := ENNReal.ofReal (21/32 : ℝ)) ?_).trans_eq (by simp) filter_upwards [hmeas] with z hz let U : Submodule ℝ (Vector d) := Submodule.span ℝ (Set.range z.2) have hdim : Module.finrank ℝ U ≤ T := by have h := finrank_span_le_card (R := ℝ) (Set.range z.2) apply h.trans rw [Set.toFinset_range] exact (Finset.card_image_le).trans_eq (by simp) have hU : 4 * Module.finrank ℝ U ≤ Module.finrank ℝ (Vector d) := by simpa only [Vector, finrank_euclideanSpace_fin] using (Nat.mul_le_mul_left 4 hdim).trans hT change sphereLaw {s : UnitSphere d | angularError s (L.estimate s z.1 z.2) ≤ ε} ≤ _ apply sphere_reflection_success_bound U hU · exact nullMeasurableSet_le (Real.continuous_arccos.measurable.comp_aemeasurable ((measurable_subtype_coe.comp_aemeasurable hz).inner measurable_subtype_coe.aemeasurable)) aemeasurable_const · intro s hs ht let t := sphereIsometry U.reflection s have he : L.estimate s z.1 z.2 = L.estimate t z.1 z.2 := by apply L.estimate_congr_labels intro i have hi : z.2 i ∈ U := Submodule.subset_span (Set.mem_range_self i) have he := U.reflection.inner_map_map (z.2 i) s.val rw [(Submodule.reflection_eq_self_iff (z.2 i)).2 hi] at he exact he.symm have hs' : dist s.val (L.estimate s z.1 z.2).val ≤ ε := by apply (chord_le_arccos s (L.estimate s z.1 z.2)).trans simpa only [Set.mem_ofPred_eq, angularError, real_inner_comm] using hs have ht' : dist t.val (L.estimate t z.1 z.2).val ≤ ε := by apply (chord_le_arccos t (L.estimate t z.1 z.2)).trans simpa only [Set.mem_ofPred_eq, angularError, real_inner_comm] using ht calc _ = dist s.val t.val := rfl _ ≤ dist s.val (L.estimate s z.1 z.2).val + dist (L.estimate s z.1 z.2).val t.val := dist_triangle _ _ _ _ ≤ ε + ε := by rw [he, dist_comm (L.estimate t z.1 z.2).val t.val] at *; exact add_le_add hs' ht' _ ≤ 1/5 := by linarith end Learner section Block variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [borelSpaceE : BorelSpace E] omit borelSpaceE in lemma blockValue_le_one_no_borel {J : Type*} [Fintype J] {m : ℕ} {h : J → E → ℝ≥0∞} (hh : ∀ j s, h j s ≤ 1) (φ : ((Fin m → E) × (Fin m → ℝ)) → J) (s : E) : blockValue h φ s ≤ 1 := by exact (lintegral_mono (fun A => hh _ s)).trans_eq (by simp) end Block end NoiselessRegression end end OAI