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• Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected

  Aditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus

  2017-02-13

• SCOPE: Scalable Composite Optimization for Learning on Spark

  Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li

  2017-02-13

• Latent Discriminant Analysis with Representative Feature Discovery

  Gang Chen

  2017-02-13

• Fast Generalized Distillation for Semi-Supervised Domain Adaptation

  Shuang Ao, Xiang Li, Charles Ling

  2017-02-13

• Self-Paced Multi-Task Learning

  Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

  2017-02-13

• Lifted Inference for Convex Quadratic Programs

  Martin Mladenov, Leonard Kleinhans, Kristian Kersting

  2017-02-13

• A Framework of Online Learning with Imbalanced Streaming Data

  Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen

  2017-02-13

• Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling

  Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng

  2017-02-13

• Cascade Subspace Clustering

  Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi

  2017-02-13

• SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

  Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

  2017-02-13

• Regularization for Unsupervised Deep Neural Nets

  Baiyang Wang, Diego Klabjan

  2017-02-13

• Confidence-Rated Discriminative Partial Label Learning

  Cai-Zhi Tang, Min-Ling Zhang

  2017-02-13

• Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images

  Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng

  2017-02-12

• Low-Rank Linear Cold-Start Recommendation from Social Data

  Suvash Sedhain, Aditya Menon, Scott Sanner, Lexing Xie, Darius Braziunas

  2017-02-12

• ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems

  DongSheng Li, Chao Chen, Qin Lv, Li Shang, Stephen Chu, Hongyuan Zha

  2017-02-12

• ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets

  Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

  2017-02-12

• Personalized Donor-Recipient Matching for Organ Transplantation

  Jinsung Yoon, Ahmed Alaa, Martin Cadeiras, Mihaela van der Schaar

  2017-02-12

• Decentralized Planning in Stochastic Environments with Submodular Rewards

  Rajiv Kumar, Pradeep Varakantham, Akshat Kumar

  2017-02-12

• Causal Discovery Using Regression-Based Conditional Independence Tests

  Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

  2017-02-12

• Abstraction in Situation Calculus Action Theories

  Bita Banihashemi, Giuseppe De Giacomo, Yves Lesperance

  2017-02-12

• Add Data into Business Process Verification: Bridging the Gap between Theory and Practice

  Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris

  2017-02-12

• On the Computation of Paracoherent Answer Sets

  Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca

  2017-02-12

• Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates

  Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Shoemaker

  2017-02-12

• What's Hot in Constraint Programming

  Laurent Michel, Michel Rueher

  2017-02-12

• JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading

  Igor Labutov, Christoph Studer

  2017-02-12