Gaussian distribution
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Distribution Learning | Gaussian distribution rho = 2 | Wasserstein Distance Error0.131 | 48 | |
| Distribution Learning | Gaussian distribution rho = 2 (test) | Wasserstein Distance Error0.131 | 48 | |
| Parameter Estimation (mu) | Gaussian Distribution epsilon=20% | Median MSE(mu)0.002 | 6 | |
| Parameter Estimation (mu) | Gaussian Distribution epsilon=10% | Median Best MSE(mu)0.6 | 6 | |
| Parameter Estimation (mu) | Gaussian Distribution epsilon=5% | Median Best MSE (mu)0 | 6 | |
| Parameter Estimation (mu) | Gaussian Distribution epsilon=1% | Median MSE(mu)0.001 | 6 | |
| Parameter Estimation (mu) | Gaussian Distribution epsilon=0% | Median Best MSE(μ)0 | 6 | |
| Learning Gaussian (Bounded Cov.) | Gaussian Distribution Bounded Covariance pure-DP (train test) | Metric- | 0 | |
| Learning Gaussian (Known Covariance) | Gaussian Distribution Known Covariance pure-DP (train test) | Metric- | 0 | |
| Distribution Sampling | Gaussian distribution Unbounded Covariance | Metric- | 0 | |
| Distribution Learning | Gaussian distribution Unbounded Covariance | Metric- | 0 | |
| Distribution Sampling | Gaussian distribution Bounded Covariance | Metric- | 0 | |
| Distribution Learning | Gaussian distribution Bounded Covariance | Metric- | 0 | |
| Distribution Sampling | Gaussian distribution Known Covariance | Metric- | 0 | |
| Sparse Mean Estimation | Gaussian distribution N(μ, I) (i.i.d. samples) | Metric- | 0 |
Showing 15 of 15 rows