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• Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver

  Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu

  2016-03-02

• Accelerating Random Kaczmarz Algorithm Based on Clustering Information

  Yujun Li, Kaichun Mo, Haishan Ye

  2016-02-21

• A Scalable and Extensible Framework for Superposition-Structured Models

  Shenjian Zhao, Cong Xie, Zhihua Zhang

  2016-03-02

• Online Instrumental Variable Regression with Applications to Online Linear System Identification

  Arun Venkatraman, Wen Sun, Martial Hebert, J. Bagnell, Byron Boots

  2016-03-02

• Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression

  Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki

  2016-02-21

• Discriminative Analysis Dictionary Learning

  Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He

  2016-02-21

• Algorithms for Differentially Private Multi-Armed Bandits

  Aristide Tossou, Christos Dimitrakakis

  2016-03-02

• Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction

  Joey Zhou, Sinno Pan, Ivor Tsang, Shen-Shyang Ho

  2016-03-02

• Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond

  Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet

  2016-02-21

• Near-Optimal Active Learning of Multi-Output Gaussian Processes

  Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan Kankanhalli

  2016-03-02

• Learning Future Classifiers without Additional Data

  Atsutoshi Kumagai, Tomoharu Iwata

  2016-02-21

• Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization

  Adish Singla, Sebastian Tschiatschek, Andreas Krause

  2016-03-02

• Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition

  Yining Wang, Aarti Singh

  2016-03-02

• Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets

  Vahan Petrosyan, Alexandre Proutiere

  2016-03-02

• Co-Regularized PLSA for Multi-Modal Learning

  Xin Wang, MingChing Chang, Yiming Ying, Siwei Lyu

  2016-03-02

• Random Composite Forests

  Giulia DeSalvo, Mehryar Mohri

  2016-02-21

• Shakeout: A New Regularized Deep Neural Network Training Scheme

  Guoliang Kang, Jun Li, Dacheng Tao

  2016-02-21

• Decentralized Approximate Bayesian Inference for Distributed Sensor Network

  Behnam Gholami, Sejong Yoon, Vladimir Pavlovic

  2016-02-21

• Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

  Chunyuan Li, Changyou Chen, David Carlson, Lawrence Carin

  2016-02-21

• High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

  Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

  2016-02-21

• Learning Deep ℓ₀ Encoders

  Zhangyang Wang, Qing Ling, Thomas Huang

  2016-03-02

• Maximum Margin Dirichlet Process Mixtures for Clustering

  Gang Chen, Haiying Zhang, Caiming Xiong

  2016-02-21

• Progressive EM for Latent Tree Models and Hierarchical Topic Detection

  Peixian Chen, Nevin Zhang, Leonard Poon, Zhourong Chen

  2016-02-21

• Relational Knowledge Transfer for Zero-Shot Learning

  Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang

  2016-03-02

• Group and Graph Joint Sparsity for Linked Data Classification

  Longwen Gao, Shuigeng Zhou

  2016-02-21