Oceania
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach
Neural Information Processing Systems http://nips.cc/
Bilevel learning of the Group Lasso structure
Jordan Frecon, Saverio Salzo, Massimiliano Pontil
Regression with group-sparsity penalty plays acentral role in high-dimensional predictionproblems.
Connective Cognition Network for Directional Visual Commonsense Reasoning
Aming Wu, Linchao Zhu, Yahong Han, Yi Yang
Neural Information Processing Systems http://nips.cc/
Learning from Bad Data via Generation
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
Neural Information Processing Systems http://nips.cc/
On Fast Leverage Score Sampling and Optimal Learning
Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco
Neural Information Processing Systems http://nips.cc/
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
However, it is insufficient to evaluate the stochastic algorithm not to consider the generalization performance, which is roughly the gap between Eq.
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David Minnen, Johannes Ballé, George D. Toderici
Inspired by the success of autoregressive priors in probabilistic generative models,weexamineautoregressive,hierarchical, andcombined priorsasalternatives, weighing their costs and benefits in the context of image compression.