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• On the Depth of Deep Neural Networks: A Theoretical View

  Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu

  2016-03-02

• Stochastic Optimization for Kernel PCA

  Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

  2016-03-02

• All-in Text: Learning Document, Label, and Word Representations Jointly

  Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz

  2016-02-21

• Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness

  Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

  2016-02-21

• Coupled Dictionary Learning for Unsupervised Feature Selection

  Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo

  2016-03-02

• Learning FRAME Models Using CNN Filters

  Yang Lu, Song-Chun Zhu, Ying Wu

  2016-02-21

• Data Poisoning Attacks against Autoregressive Models

  Scott Alfeld, Xiaojin Zhu, Paul Barford

  2016-02-21

• Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic

  Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin

  2016-02-21

• Deep Hashing Network for Efficient Similarity Retrieval

  Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao

  2016-03-02

• Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search

  Marco Fraccaro, Ulrich Paquet, Ole Winther

  2016-02-21

• Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification

  Nguyen Cuong, Nan Ye, Wee Lee

  2016-02-21

• Fast Lasso Algorithm via Selective Coordinate Descent

  Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura

  2016-02-21

• Bounded Optimal Exploration in MDP

  Kenji Kawaguchi

  2016-02-21

• Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization

  Yang Song, Jun Zhu

  2016-03-02

• Multitask Generalized Eigenvalue Program

  Boyu Wang, Joelle Pineau, Borja Balle

  2016-03-02

• A Proximal Alternating Direction Method for Semi-Definite Rank Minimization

  Ganzhao Yuan, Bernard Ghanem

  2016-03-02

• Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis

  Assaf Hallak, Aviv Tamar, Remi Munos, Shie Mannor

  2016-02-21

• Reinforcement Learning with Parameterized Actions

  Warwick Masson, Pravesh Ranchod, George Konidaris

  2016-02-21

• Semi-Supervised Dictionary Learning via Structural Sparse Preserving

  Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

  2016-03-02

• Active Learning with Cross-Class Knowledge Transfer

  Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin

  2016-02-21

• Discriminative Vanishing Component Analysis

  Chenping Hou, Feiping Nie, Dacheng Tao

  2016-02-21

• DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays

  Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari

  2016-03-02

• Consensus Guided Unsupervised Feature Selection

  Hongfu Liu, Ming Shao, Yun Fu

  2016-02-21

• Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

  Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan

  2016-03-02

• Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification

  Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen

  2016-03-02