Convex-gradient robust augmenter / results.json
Mechanism confirmed, baseline not beaten
1{
2 "math_verification": {
3 "identity_scales": [
4 0.75,
5 0.9,
6 1.0,
7 1.1,
8 1.3
9 ],
10 "identity_family_kl": [
11 0.2067962173553427,
12 0.031081546973478924,
13 0.0,
14 0.029069460587025475,
15 0.24790720659752707
16 ],
17 "identity_min_at_scale_1": true,
18 "small_eps": [
19 0.005,
20 0.01,
21 0.02,
22 0.04
23 ],
24 "small_kl_over_d_eps2": [
25 0.9983395584358539,
26 0.9966914683191135,
27 0.9934317595506648,
28 0.9870542791992055
29 ],
30 "quadratic_prediction_mean_ratio": 1.0,
31 "quadratic_observed_mean_ratio": 0.9938792663762095,
32 "dimension_values": [
33 1,
34 2,
35 4,
36 8,
37 16
38 ],
39 "dimension_kls": [
40 0.03767844320604538,
41 0.07535688641209076,
42 0.15071377282418152,
43 0.30142754564836305,
44 0.6028550912967261
45 ],
46 "dimension_predicted_slope": 0.03767844320604538,
47 "dimension_observed_slope": 0.037678443206045395,
48 "cov_kl_analytic": 0.045256987122616166,
49 "cov_kl_monte_carlo": 0.045582954167609914,
50 "cov_relative_error": 0.007202579440619756
51 },
52 "mini_experiment": {
53 "rho": 0.061371123044853204,
54 "n_train": 900,
55 "ERM": {
56 "clean_accuracy": 0.9633333333333334,
57 "shift_accuracy": 0.9633333333333334,
58 "clean_logloss": 0.07754392993485336
59 },
60 "Gaussian": {
61 "clean_accuracy": 0.97,
62 "shift_accuracy": 0.96,
63 "clean_logloss": 0.07741315565625259
64 },
65 "ConvexTransport": {
66 "clean_accuracy": 0.9533333333333334,
67 "shift_accuracy": 0.9633333333333334,
68 "clean_logloss": 0.10988810136996054
69 }
70 }
71}