Cycle I Accepted Papers

  • Inbal Horev, Florian Yger, Masashi Sugiyama. Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
  • Marthinus Du Plessis, Gang Niu, Masashi Sugiyama. Class-prior Estimation for Learning from Positive and Unlabeled Data
  • Wojciech Kotlowski, Krzysztof Dembczynski. Surrogate regret bounds for generalized classification performance metrics
  • Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac. Consistency of structured output learning with missing labels

Cycle II Accepted Papers

  • Le Shu, Longin Jan Latecki. Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
  • Yanan Bao, Xin Liu, Amit Pande. Data-Guided Approach for Learning and Improving User Experience in Computer Networks
  • Yiu-ming Cheung, Jian Lou. Proximal Average Approximated Incremntal Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
  • Duong Nguyen, Marthinus Du Plessis, Masashi Sugiyama. Target Shift Adaptation in Supervised Learning
  • Viet Huynh, Dinh Phung, Svetha Venkatesh. Streaming Variational Inference for Dirichlet Process Mixtures
  • Ozan Irsoy, Ethem Alpaydin. Autoencoder Trees
  • Ata Kaban. Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
  • Wenkui Ding, Yingce Xia, Tao Qin. Budgeted Bandit Problems with Continuous Random Costs
  • Adepu Ravi Sankar, Vineeth N Balasubramanian. Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
  • Young-Jun Ko, Matthias Seeger. Expectation Propagation for Rectified Linear Poisson Regression
  • Liqiang Niu, Xinyu Dai. A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
  • Fei Yu, Min-Ling Zhang. Maximum Margin Partial Label Learning
  • Tingting Zhao, Gang Niu, Ning Xie, Jucheng Yang, Masashi Sugiyama. Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
  • Xiaowei Zhang, Li Cheng, Tingshao Zhu. Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction
  • Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang. Preference Relation-based Markov Random Fields
  • Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama. Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
  • Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi. Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
  • Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian. Curriculum Learning of Bayesian Network Structures
  • Bin Li, Julia Yu, Jie Zhang, Bin Ke. Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
  • Wang-Zhou Dai, Zhi-Hua Zhou. Statistical Unfolded Logic Learning
  • Yue Zhu, Wei Gao, Zhi-Hua Zhou. One-Pass Multi-View Learning
  • Shuang Zhou, Gijs Schoenmakers, Evguen Smirnov, Siqi Chen, Kurt Driessens, Ralf Peeters. Largest Source-Subset Selection for Instance Transfer
  • Ata Kaban. Identifying Benign Input Geometries via Random Projections
  • Huanhuan Zhang, Jie Zhang, Carol Fung, Chang Xu. Improving Sybil Detection via Graph Pruning and Regularization Techniques