Papers
734 papers found
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.
Data-Guided Approach for Learning and Improving User Experience in Computer Networks
Yanan Bao, Xin Liu, Amit Pande
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
Bin Li, Julia Yu, Jie Zhang et al.
Expectation Propagation for Rectified Linear Poisson Regression
Young-Jun Ko, Matthias W. Seeger
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
Inbal Horev, Florian Yger, Masashi Sugiyama
Improving Sybil Detection via Graph Pruning and Regularization Techniques
Huanhuan Zhang, Jie Zhang, Carol Fung et al.
Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
Le Shu, Longin Jan Latecki
Largest Source Subset Selection for Instance Transfer
Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov et al.
Maximum Margin Partial Label Learning
Fei Yu, Min-Ling Zhang
One-Pass Multi-View Learning
Yue Zhu, Wei Gao, Zhi-Hua Zhou
Preference Relation-based Markov Random Fields for Recommender Systems
Shaowu Liu, Gang Li, Truyen Tran et al.
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
Tingting Zhao, Gang Niu, Ning Xie et al.
Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction
Xiaowei Zhang, Li Cheng, Tingshao Zhu
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
Adepu Ravi Sankar, Vineeth N Balasubramanian
Statistical Unfolded Logic Learning
Wang-Zhou Dai, Zhi-Hua Zhou
Streaming Variational Inference for Dirichlet Process Mixtures
Viet Huynh, Dinh Phung, Svetha Venkatesh
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama
Surrogate regret bounds for generalized classification performance metrics
Wojciech Kotlowski, Krzysztof Dembczyński
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo
A UCB-Like Strategy of Collaborative Filtering
Atsuyoshi Nakamura
Bibliographic Analysis with the Citation Network Topic Model
Kar Wai Lim, Wray Buntine
Dual online inference for latent Dirichlet allocation
Khoat Than, Tung Doan