Bregman Divergence for Stochastic Variance Reduction Methods: Adversarial Prediction and Saddle-Point Problems Jan 1, 2017· Z. Shi , X. Zhang , Y. Yu · 0 min read PDF Cite Type Conference paper Publication Advances in Neural Information Processing Systems (NeurIPS) Last updated on Jan 1, 2017 Conference ← Analyzable Diversity-Promoting Latent Space Models Jan 1, 2017 Convex-constrained Sparse Additive Modeling and Its Extensions Jan 1, 2017 →