Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?

arXiv:2603.21716 · cs.LG, cs.AI, cs.CV · Submitted 2026-03-23 · Read on arXiv

cs.LG, cs.AI, cs.CV

Submitted: 2026-03-23

Updated: 2026-08-30

Terminology

• Regret — 41× in this paper · explained in 3 episodes
• Generative Model — 39× in this paper · explained in 2 episodes
• Generative Models — 23× in this paper · explained in 2 episodes
• Fidelity — 14× in this paper · explained in 2 episodes
• Trace — 11× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• International Conference on Machine Learning — 5× in this paper
• Random Fourier Features — 5× in this paper
• Transformer — 5× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 4× in this paper
• Sample Efficiency — 4× in this paper · explained in 4 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Latent Diffusion Models — 3× in this paper · explained in 2 episodes
• Upper Confidence Bound — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Convergence Guarantees — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Hilbert Space — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Contextual Bandit Problem — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Inception Score — 1× in this paper
• Kernel Distance — 1× in this paper
• Kernel Inception Distance — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
• Auto-Encoding Variational Bayes
• DINOv2: Learning Robust Visual Features without Supervision
• SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
• Qwen2 Technical Report
• Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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