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Exponential Family Estimation via Adversarial Dynamics Embedding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use ADE instead of CD-15 | synthetic 2spirals estimation · 2spirals | MMD × 1e^-3: -0.45 -> -0.61 | Helped |
| use ADE instead of CD-15 | synthetic Banana estimation · Banana | MMD × 1e^-3: -0.31 -> -0.99 | Helped |
| use ADE instead of CD-15 | synthetic circles estimation · circles | MMD × 1e^-3: -0.83 -> -1.13 | Helped |
| use ADE instead of NF | synthetic cos estimation · cos | MMD × 1e^-3: 0.91 -> -0.55 | Helped |
| use ADE instead of CD-15 | synthetic Cosine estimation · Cosine | MMD × 1e^-3: 0.78 -> -1.09 | Helped |
| use ADE instead of NF | synthetic Funnel estimation · Funnel | MMD × 1e^-3: -0.92 -> -0.75 | Hurt |
| use ADE instead of CD-15 | synthetic swissroll estimation · swissroll | MMD × 1e^-3: 0.20 -> -0.36 | Helped |
| use ADE instead of NF | synthetic line estimation · line | MMD × 1e^-3: 0.39 -> -1.30 | Helped |
| use ADE instead of NF | synthetic moons estimation · moons | MMD × 1e^-3: 0.80 -> -1.10 | Helped |
| use ADE instead of CD-15 | synthetic Multiring estimation · Multiring | MMD × 1e^-3: -0.38 -> -1.02 | Helped |
| use ADE instead of CD-15 | synthetic pinwheel estimation · pinwheel | MMD × 1e^-3: -1.03 -> -0.95 | Hurt |
| use ADE instead of CD-15 | synthetic Ring estimation · Ring | MMD × 1e^-3: 0.12 -> -0.91 | Helped |
Closest papers by meaning
- A Computationally Efficient Method for Learning Exponential Family Distributions (NeurIPS 2021 · similarity 0.87)
- Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation (NeurIPS 2016 · similarity 0.86)
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions (NeurIPS 2021 · similarity 0.86)
- eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling (NeurIPS 2024 · similarity 0.85)
- Improving Adversarial Energy-Based Model via Diffusion Process (ICML 2024 · similarity 0.84)
- Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding (ICML 2024 · similarity 0.83)
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