Europe
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Ehsan Amid, Manfred K. K. Warmuth, Rohan Anil, Tomer Koren
Neural Information Processing Systems http://nips.cc/
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Due to the non-convex nature of such joint estimators, the theoretical justification of their efficiency is typically challenging.
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic
Wedevisetheoretical convergenceguarantees and extensively evaluate our method on synthetic and real benchmarks.
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/
Triad Constraints for Learning Causal Structure of Latent Variables
Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang
Learning causal structure from observational data has attracted much attention, and it is notoriously challenging to find the underlying structure in the presence of confounders (hidden direct common causes of two variables).