Papers
Scalable Gaussian Process Regression Using Deep Neural Networks
Wenbing Huang, Deli Zhao, Fuchun Sun et al.
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering
Jin Huang, Feiping Nie, Heng Huang
Identification of Time-Dependent Causal Model: A Gaussian Process Treatment
Biwei Huang, Kun Zhang, Bernhard Schölkopf
Active Imitation Learning of Hierarchical Policies
Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx et al.
Online Robust Low Rank Matrix Recovery
Xiaojie Guo
Bi-Parameter Space Partition for Cost-Sensitive SVM
Bin Gu, Victor S. Sheng, Shuo Li
Multi-Label Structure Learning with Ising Model Selection
Andre R. Goncalves, Fernando J. Von Zuben, Arindam Banerjee
Multitask Coactive Learning
Robby Goetschalckx, Alan Fern, Prasad Tadepalli
Potential Based Reward Shaping for Hierarchical Reinforcement Learning
Yang Gao, Francesca Toni
Quiet: Faster Belief Propagation for Images and Related Applications
Yasuhiro Fujiwara, Dennis Shasha
Random Feature Mapping with Signed Circulant Matrix Projection
Chang Feng, Qinghua Hu, Shizhong Liao
Crowdsourced Semantic Matching of Multi-Label Annotations
Lei Duan, Satoshi Oyama, Masahito Kurihara et al.
Robust Multiple Kernel K-means Using L21-Norm
Liang Du, Peng Zhou, Lei Shi et al.
Topic Modeling with Document Relative Similarities
Jianguang Du, Jing Jiang, Dandan Song et al.
Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
Tobias Domhan, Jost Tobias Springenberg, Frank Hutter
Deep Low-Rank Coding for Transfer Learning
Zhengming Ding, Ming Shao, Yun Fu
Intersecting Manifolds: Detection, Segmentation, and Labeling
Shay Deutsch, Gerard Guy Medioni
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information
Cheng Deng, Zongting Lv, Wei Liu et al.
Optimal Bayesian Hashing for Efficient Face Recognition
Qi Dai, Jianguo Li, Jun Wang et al.
Learning Efficient Logical Robot Strategies Involving Composable Objects
Andrew Cropper, Stephen H. Muggleton
Robust Learning for Repeated Stochastic Games via Meta-Gaming
Jacob W. Crandall
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization
Yiu-ming Cheung, Jian Lou
Mirror Representation for Modeling View-Specific Transform in Person Re-Identification
Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai