Paper Group ANR 1454
January 26, 2020
Information-Theoretic Confidence Bounds for Reinforcement Learning. A General $\mathcal{O}(n^2)$ Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM. OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. Towar …