Papers
Largest Source Subset Selection for Instance Transfer
Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov et al.
One-Pass Multi-View Learning
Yue Zhu, Wei Gao, Zhi-Hua Zhou
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
Adepu Ravi Sankar, Vineeth N Balasubramanian
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydin
Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
Le Shu, Longin Jan Latecki
Statistical Unfolded Logic Learning
Wang-Zhou Dai, Zhi-Hua Zhou
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
Tingting Zhao, Gang Niu, Ning Xie et al.
Budgeted Bandit Problems with Continuous Random Costs
Yingce Xia, Wenkui Ding, Xu-Dong Zhang et al.
Surrogate regret bounds for generalized classification performance metrics
Wojciech Kotlowski, Krzysztof Dembczyński
Continuous Target Shift Adaptation in Supervised Learning
Tuan Duong Nguyen, Marthinus Christoffel, Masashi Sugiyama
Curriculum Learning of Bayesian Network Structures
Yanpeng Zhao, Yetian Chen, Kewei Tu et al.
Expectation Propagation for Rectified Linear Poisson Regression
Young-Jun Ko, Matthias W. Seeger
Streaming Variational Inference for Dirichlet Process Mixtures
Viet Huynh, Dinh Phung, Svetha Venkatesh
Class-prior Estimation for Learning from Positive and Unlabeled Data
Marthinus Christoffel, Gang Niu, Masashi Sugiyama
Improving Sybil Detection via Graph Pruning and Regularization Techniques
Huanhuan Zhang, Jie Zhang, Carol Fung et al.
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
Bin Li, Julia Yu, Jie Zhang et al.
Preference Relation-based Markov Random Fields for Recommender Systems
Shaowu Liu, Gang Li, Truyen Tran et al.
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
Liqiang Niu, Xin-Yu Dai, Shujian Huang et al.
Data-Guided Approach for Learning and Improving User Experience in Computer Networks
Yanan Bao, Xin Liu, Amit Pande
Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction
Xiaowei Zhang, Li Cheng, Tingshao Zhu
Maximum Margin Partial Label Learning
Fei Yu, Min-Ling Zhang
Consistency of structured output learning with missing labels
Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi