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Function-space regularized Rényi divergences

ICLR 2023 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Annealing and divergence-based variational objectives · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the rescaled IC-Γ-R divergence at alpha=inf (IC-Γ-WCR) instead of smaller alpha (ablation)AUC rare sub-population detection on single-cell data · Single-cell mass cytometry, 100K samplesAUC: 0.89 vs 0.55 (alpha=2) and 0.70 (alpha=5) at 0.2% rarityHelped
Use IC-Γ-WCR (alpha=inf) instead of Wasserstein distanceAUC rare sub-population detection · Single-cell mass cytometry, 20K and 100K samplesAUC: e.g., 0.89 vs 0.58 at 0.2% (100K); 0.91 vs 0.40 at 1.0% (20K)Helped
Replace DV-Rényi variational formula with convex-conjugate Rényi formula (no risk-sensitive terms)Estimation of classical Rényi divergence between Gaussians · 1000-dim Gaussians, alpha large or distributions far apartvariance and MSEHelped
Use poly-softplus final layer instead of -abs for CC-Rényi discriminator (ablation)CC-Rényi estimator · 1000-dim Gaussiansfailed runs (NaN outputs)Helped
Add symmetry-preserving equivariant generator and invariant discriminator (C8 group) to IC-Γ-R GAN (ablation)RotMNIST GAN · RotMNIST 1%-10% training datamedian FID (lower is better): 114 vs 357 at 1% data; 62 vs 298 at 10% dataHelped
Replace plain CNN generator/discriminator with equivariant generator and invariant discriminator at C4 group (partial symmetry) (ablation)RotMNIST GAN · RotMNIST 1% training datamedian FID (lower is better): Eqv G+CNN D 464 and CNN G+Inv D 366 vs CNN 357 at 1%; Eqv G+Inv D C4 151 at 1%Mixed
Rescaled IC-Γ-R (D_alpha) with large alpha instead of unscaled R_alpha^{Γ,IC} GAN (ablation)CIFAR-10 GAN with 1-Lipschitz Γ · CIFAR-10 inception score / FIDinception scoreHelped
Use IC-Γ regularized divergence GAN instead of unregularized Rényi-DV GAN with alpha>1CIFAR-10 GAN · CIFAR-10training stabilityHelped
Use IC-Γ-R GANs with alpha<=... (rather than WGAN-GP) on CIFAR-10CIFAR-10 GAN · CIFAR-10 inception scoreinception scoreHelped
Use Γ-Rényi-DV regularization (instead of IC) for alpha>1Rényi divergence regularization via function space · Theory counterexample (Dirac distributions)bound R_alpha <= W^ΓHurt

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