Papers
Distributed Accelerated Proximal Coordinate Gradient Methods
Yong Ren, Jun Zhu
Sense Beauty by Label Distribution Learning
Yi Ren, Xin Geng
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning
Yazhou Ren, Peng Zhao, Yongpan Sheng et al.
Stacking With Auxiliary Features
Nazneen Fatema Rajani, Raymond J. Mooney
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen et al.
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic
Maoying Qiao, Jun Yu, Wei Bian et al.
On Subset Selection with General Cost Constraints
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Optimizing Ratio of Monotone Set Functions
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Te Pi, Xi Li, Zhongfei (Mark) Zhang
Flexible Orthogonal Neighborhood Preserving Embedding
Tianji Pang, Feiping Nie, Junwei Han
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
Guansong Pang, Longbing Cao, Ling Chen et al.
Discovering Relevance-Dependent Bicluster Structure from Relational Data
Iku Ohama, Takuya Kida, Hiroki Arimura
SEVEN: Deep Semi-supervised Verification Networks
Vahid Noroozi, Lei Zheng, Sara Bahaadini et al.
Self-weighted Multiview Clustering with Multiple Graphs
Feiping Nie, Jing Li, Xuelong Li
Joint Capped Norms Minimization for Robust Matrix Recovery
Feiping Nie, Zhouyuan Huo, Heng Huang
Discriminative Bayesian Nonparametric Clustering
Vu Nguyen, Dinh Phung, Trung Le et al.
Large-scale Online Kernel Learning with Random Feature Reparameterization
Tu Dinh Nguyen, Trung Le, Hung Bui et al.
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning
Sanmit Narvekar, Jivko Sinapov, Peter Stone
Learning Feature Engineering for Classification
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana et al.
Self-Paced Multitask Learning with Shared Knowledge
Keerthiram Murugesan, Jaime Carbonell
Thresholding Bandits with Augmented UCB
Subhojyoti Mukherjee, Naveen Kolar Purushothama, Nandan Sudarsanam et al.
Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer
Seungwhan Moon, Jaime Carbonell
Rescale-Invariant SVM for Binary Classification
Mojtaba Montazery, Nic Wilson
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means
Mahesh Mohan, Claire Monteleoni
Logistic Markov Decision Processes
Martin Mladenov, Craig Boutilier, Dale Schuurmans et al.