Yining Wang

Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

We present a simple noise-robust margin-based active learn-ing algorithm to find homogeneous (passing the origin) linearseparators and analyze its error convergence when labels arecorrupted by noise. We show that when the imposed noisesatisfies the Tsybakov …

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics

2015

Subspace clustering separates data points ap-proximately lying on union of affine subspaces into several clusters. This paper presents a novel nonparametric Bayesian subspace cluster-ing model that infers both the number of sub-spaces and the dimension …

Co-Attentive Multi-Task Learning for Explainable Recommendation

2019

Despite widespread adoption, recommender systems remain mostly black boxes. Recently, providing explanations about why items are recommended has attracted increasing attention due to its capability to enhance user trust and satisfaction. In this paper, we …