divergence minimization

Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025 Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification IJCAI 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 Variational Resampling AISTATS 2024 MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows ICML 2023 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020 Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 A Convex Duality Framework for GANs NeurIPS 2018 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ICLR 2018 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017