Regret-Balanced Adaptive Context / results.json
Mechanism failed
1{
2 "math": {
3 "objective_marginal_max_error": 6.661338147750939e-16,
4 "tail_energy": 0.740303008401197,
5 "empirical_logistic_KL_over_tail_energy": 0.1247584669317129,
6 "math_check_pass": true
7 },
8 "experiment": {
9 "fixed_long": {
10 "cum_logloss": 5135.921434587852,
11 "first_half_logloss": 2549.617172820619,
12 "second_half_logloss": 2586.3042617672336,
13 "mean_active_h": 24.0,
14 "second_half_active_h": 24.0,
15 "inference_ops_relative": 1.0,
16 "wall_seconds": 0.45549295598175377
17 },
18 "fixed_short": {
19 "cum_logloss": 4814.289161209948,
20 "first_half_logloss": 2375.1477084936805,
21 "second_half_logloss": 2439.141452716268,
22 "mean_active_h": 4.0,
23 "second_half_active_h": 4.0,
24 "inference_ops_relative": 0.16666666666666666,
25 "wall_seconds": 0.45230394598911516
26 },
27 "adaptive": {
28 "cum_logloss": 5138.303753375891,
29 "first_half_logloss": 2552.0221099763303,
30 "second_half_logloss": 2586.2816433995613,
31 "mean_active_h": 23.651,
32 "second_half_active_h": 23.99142857142857,
33 "inference_ops_relative": 0.9854583333333333,
34 "wall_seconds": 0.6080508150043897
35 }
36 },
37 "settings": {
38 "T": 7000,
39 "H_max": 24,
40 "lambda": 0.012,
41 "confidence_k": 0.08,
42 "seed": 19,
43 "data": "short exponential -> long polynomial abrupt switch"
44 }
45}