Updated README
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@ -65,9 +65,7 @@ pytest tests/test_projections.py
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*Note*: The test suite verifies:
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*Note*: The test suite verifies:
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1. All projections run without errors and maintain basic properties (shapes, positive definiteness)
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1. All projections run without errors and maintain basic properties (shapes, positive definiteness)
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2. KL bounds are actually (approximately) met for:
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2. KL bounds are actually (approximately) met for true KL projection (both diagonal and full covariance)
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- KL projection (both diagonal and full covariance)
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- Wasserstein projection (diagonal covariance only)
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3. Gradients can be computed through all projections:
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3. Gradients can be computed through all projections:
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- Both through projection operation and trust region loss
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- Both through projection operation and trust region loss
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- Gradients have correct shapes and are finite
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- Gradients have correct shapes and are finite
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