Statistical Learning
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
Recently, federated multi-view clustering (FedMVC) has emerged to explore cluster structures in multi-view data distributed on multiple clients. Many existing approaches tend to assume that clients are isomorphic and all of them belong to either single-view clients or multi-view clients.
Debiased Bayesian inference for average treatment effects
Workinginthestandard potential outcomes framework, we propose a data-driven modification to an arbitrary (nonparametric) prior based on the propensity score that corrects for the first-orderposteriorbias,therebyimprovingperformance.Weillustrateourmethod for Gaussian process (GP) priors using (semi-)synthetic data.
Learning Discrete Concepts in Latent Hierarchical Models
Learning concepts from natural high-dimensional data (e.g., images) holds potential
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
Neural Information Processing Systems http://nips.cc/
Self-AttentionBetweenDatapoints: GoingBeyond IndividualInput-OutputPairsinDeepLearning Appendix TableofContents
We next give a rough indication of prediction time behavior of NPT and the baselines.