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• Risk Minimization in the Presence of Label Noise

  Wei Gao, Lu Wang, Yu-Feng li, Zhi-Hua Zhou

  2016-02-21

• Expected Tensor Decomposition with Stochastic Gradient Descent

  Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi

  2016-02-21

• Multi-Domain Active Learning for Recommendation

  Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang

  2016-03-02

• On Order-Constrained Transitive Distance Clustering

  Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

  2016-03-02

• Derivative-Free Optimization via Classification

  Yang Yu, Hong Qian, Yi-Qi Hu

  2016-03-02

• Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions

  Hong Qian, Yang Yu

  2016-03-02

• Deep Learning with S-Shaped Rectified Linear Activation Units

  Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan

  2016-02-21

• Asynchronous Distributed Semi-Stochastic Gradient Optimization

  Ruiliang Zhang, Shuai Zheng, James T. Kwok

  2016-03-02

• Efficient Average Reward Reinforcement Learning Using Constant Shifting Values

  Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen

  2016-03-02

• Fast Nonsmooth Regularized Risk Minimization with Continuation

  Shuai Zheng, Ruiliang Zhang, James T. Kwok

  2016-03-02

• SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

  Ahsanul Haque, Latifur Khan, Michael Baron

  2016-02-21

• Towards Safe Semi-Supervised Learning for Multivariate Performance Measures

  Yu-Feng Li, James Kwok, Zhi-Hua Zhou

  2016-02-21

• Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data

  Mingkui Tan, Yan Yan, Li Wang, Anton Van Den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi

  2016-03-02

• Metric Learning for Ordinal Data

  Yuan Shi, Wenzhe Li, Fei Sha

  2016-03-02

• How Important Is Weight Symmetry in Backpropagation?

  Qianli Liao, Joel Leibo, Tomaso Poggio

  2016-02-21

• New l1-Norm Relaxations and Optimizations for Graph Clustering

  Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

  2016-03-02

• Learning Expected Hitting Time Distance

  De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou

  2016-03-02

• Robust Semi-Supervised Learning through Label Aggregation

  Yan Yan, Zhongwen Xu, Ivor Tsang, Guodong Long, Yi Yang

  2016-03-02

• The Hidden Convexity of Spectral Clustering

  James Voss, Mikhail Belkin, Luis Rademacher

  2016-03-02

• The l2,1-Norm Stacked Robust Autoencoders for Domain Adaptation

  Wenhao Jiang, Hongchang Gao, Fu-lai Chung, Heng Huang

  2016-02-21

• Finding One's Best Crowd: Online Learning By Exploiting Source Similarity

  Yang Liu, Mingyan Liu

  2016-02-21

• Sparse Latent Space Policy Search

  Kevin Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor

  2016-02-21

• Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks

  Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic

  2016-02-21

• Improving Predictive State Representations via Gradient Descent

  Nan Jiang, Alex Kulesza, Satinder Singh

  2016-02-21

• Model-Free Preference-Based Reinforcement Learning

  Christian Wirth, Johannes Fürnkranz, Gerhard Neumann

  2016-03-02