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Linear Regression on Synthetic Multi-task Dataset d=50, K=20, epsilon=0.2 (test)

0.688Local Error

JRGE

0.188323.561166.93410.30684Jul 2, 2026
Updated 18d ago

Evaluation Results

MethodLinks
2026.07
0.6880.399
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0.7490.419
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0.8152.89
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0.8350.442
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0.84-
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0.8642.483
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0.8722.461
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0.9440.482
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0.952.998
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0.988-
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0.9882.476
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0.9932.568
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1.0911.081
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1.1010.547
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1.1231.113
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1.1452.992
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1.182.395
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1.1821.138
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1.1942.694
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1.2041.141
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1.228-
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1.2430.494
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1.2430.494
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1.2480.518
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1.2480.518
2026.07
1.260.554
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1.260.554
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1.2751.134
2026.07
1.2750.566
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1.2850.59
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1.2860.595
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1.2860.595
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1.2860.604
2026.07
1.2990.632
2026.07
1.30.631
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1.3150.737
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1.3160.672
2026.07
1.3210.669
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1.3210.669
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1.3370.698
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1.3430.708
2026.07
1.3550.728
2026.07
1.3670.763
2026.07
1.3870.788
2026.07
1.390.801
2026.07
1.3930.796
2026.07
1.4110.84
2026.07
1.4120.834
2026.07
1.430.871
2026.07
1.4382.988
2026.07
1.4410.886
2026.07
1.4450.887
2026.07
1.4463.002
2026.07
1.4470.888
2026.07
1.4533.004
2026.07
1.4560.912
2026.07
1.4690.933
2026.07
1.4690.933
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1.4693.016
2026.07
1.4720.939
2026.07
1.4752.986
2026.07
1.4833.024
2026.07
1.5010.992
2026.07
1.510.994
2026.07
1.5110.993
2026.07
1.523.059
2026.07
1.5252.916
2026.07
1.5262.3
2026.07
1.5431.033
2026.07
1.5941.114
2026.07
1.5991.124
2026.07
1.6121.147
2026.07
1.629-
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1.6451.181
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1.6581.208
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1.6581.432
2026.07
1.7341.324
2026.07
1.7551.335
2026.07
1.7751.38
2026.07
1.7821.364
2026.07
1.8711.502
2026.07
1.9631.602
2026.07
1.9882.975
2026.07
2.0493.164
2026.07
2.0783.352
2026.07
2.1081.772
2026.07
2.17-
2026.07
2.2921.993
2026.07
2.4532.172
2026.07
2.4562.161
2026.07
2.616-
2026.07
2.6183.351
2026.07
2.6243.884
2026.07
2.6433.87
2026.07
2.8172.566
2026.07
2.932.702
2026.07
13.09613.043
2026.07
13.10813.062
2026.07
13.13913.088
2026.07
13.1813.132
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