Rank-Normalized Nonlinear Spectral Preconditioner / results.json
Failed on benchmark
1{
2 "seed": 1163,
3 "predictions": {
4 "P1_rank_sampling_scaling": "rank covariance error should scale as n^-1/2 after monotone marginal distortion",
5 "P2_outlier_influence": "raw variance coefficient versus A^2 should approach q(1-q)=0.0475; rank variance should remain bounded",
6 "P3_eigen_specific_cleaning": "bulk contraction should reduce covariance error while retaining top spike"
7 },
8 "observed": {
9 "P1_rows": [
10 {
11 "n": 64,
12 "raw_relerr": 9.627445515131965,
13 "rank_relerr": 0.12752087486906927,
14 "rank_sd": 0.0077814080743867226
15 },
16 {
17 "n": 128,
18 "raw_relerr": 8.550812475957713,
19 "rank_relerr": 0.09299084186579426,
20 "rank_sd": 0.004832772149723181
21 },
22 {
23 "n": 256,
24 "raw_relerr": 8.31347696293776,
25 "rank_relerr": 0.06468969880253567,
26 "rank_sd": 0.0027468181696894273
27 },
28 {
29 "n": 512,
30 "raw_relerr": 7.958248692270368,
31 "rank_relerr": 0.046971362173094916,
32 "rank_sd": 0.001984766746976157
33 },
34 {
35 "n": 1024,
36 "raw_relerr": 8.242516751951532,
37 "rank_relerr": 0.028335104293481763,
38 "rank_sd": 0.0012234488206997083
39 }
40 ],
41 "P1_loglog_slope": -0.5325449236995332,
42 "P2_rows": [
43 {
44 "A": 0,
45 "raw_relerr": 0.13955397901850178,
46 "rank_relerr": 0.10399218382750393,
47 "raw_var0": 1.0131367468587391,
48 "rank_var0": 0.9949828386117898
49 },
50 {
51 "A": 2,
52 "raw_relerr": 0.15852610988036184,
53 "rank_relerr": 0.11244665029125489,
54 "raw_var0": 1.170388853312168,
55 "rank_var0": 0.9949828386117897
56 },
57 {
58 "A": 5,
59 "raw_relerr": 0.3243089341483496,
60 "rank_relerr": 0.11013023599702595,
61 "raw_var0": 2.108980335146783,
62 "rank_var0": 0.9949828386117898
63 },
64 {
65 "A": 10,
66 "raw_relerr": 1.1655031460557297,
67 "rank_relerr": 0.11533131439032196,
68 "raw_var0": 5.4388863554692986,
69 "rank_var0": 0.9949828386117898
70 },
71 {
72 "A": 20,
73 "raw_relerr": 4.649857727304761,
74 "rank_relerr": 0.11873543086859861,
75 "raw_var0": 18.887928136728245,
76 "rank_var0": 0.9949828386117897
77 },
78 {
79 "A": 50,
80 "raw_relerr": 29.04385953139562,
81 "rank_relerr": 0.11831776783813837,
82 "raw_var0": 112.93228285660875,
83 "rank_var0": 0.9949828386117897
84 }
85 ],
86 "P2_raw_A2_coefficient": 0.04478674552133152,
87 "P2_predicted_coefficient": 0.0475,
88 "P3_rows": [
89 {
90 "spike": 1,
91 "raw_cov_error": 0.9993310043924628,
92 "clean_cov_error": 0.6280693057159472,
93 "top_raw": 1.5018120005700746,
94 "top_clean": 1.5018120005700746,
95 "clean_win": 1.0
96 },
97 {
98 "spike": 2,
99 "raw_cov_error": 1.1438513127701158,
100 "clean_cov_error": 0.808995436404669,
101 "top_raw": 1.7950711958169931,
102 "top_clean": 1.7950711958169931,
103 "clean_win": 1.0
104 },
105 {
106 "spike": 4,
107 "raw_cov_error": 1.7159793419567293,
108 "clean_cov_error": 1.5368681875991579,
109 "top_raw": 2.8852101335647706,
110 "top_clean": 2.8852101335647706,
111 "clean_win": 1.0
112 },
113 {
114 "spike": 8,
115 "raw_cov_error": 5.300344007341902,
116 "clean_cov_error": 5.193192829445812,
117 "top_raw": 3.442518563640547,
118 "top_clean": 3.442518563640547,
119 "clean_win": 1.0
120 }
121 ]
122 },
123 "elapsed_sec": 0.7110717296600342
124}