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Machine Learning Papers in AAAI Conference 2017


29 March 2017

Machine Learning Papers in AAAI Conference 2017

Machine Learning Applications

Explicit Defense Actions Against Test-Set Attacks / 1274
Scott Alfeld, Xiaojin Zhu, Paul Barford

Multidimensional Scaling on Multiple Input Distance Matrices / 1281
Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets / 1288
Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering / 1295
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Predicting Soccer Highlights from Spatio-Temporal Match Event Streams / 1302
Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis

A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems / 1309
Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation / 1316
Li Gao, Jia Wu, Chuan Zhou, Yue Hu

Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton / 1323
Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen

Soft Video Parsing by Label Distribution Learning / 1331
Xin Geng, Miaogen Ling

Active Learning with Cross-Class Similarity Transfer / 1338
Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han

DeepFix: Fixing Common C Language Errors by Deep Learning / 1345
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade

Question Difficulty Prediction for READING Problems in Standard Tests / 1352
Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu

Additional Multi-Touch Attribution for Online Advertising / 1360
Wendi Ji, Xiaoling Wang

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction / 1367
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang

Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification / 1374
Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen

Contextual RNN-GANs for Abstract Reasoning Diagram Generation / 1382
Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal

A Framework for Minimal Clustering Modification via Constraint Programming / 1389
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson

Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem / 1396
Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems / 1403
DongSheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

Learning with Feature Network and Label Network Simultaneously / 1410
Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

Collaborative Company Profiling: Insights from an Employee's Perspective / 1417
Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong

ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy / 1424
Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping / 1431
Feng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types / 1438
Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks / 1445
Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen

Data-Driven Approximations to NP-Hard Problems / 1453
Anton Milan, S. Hamid Rezatofighi, Ravi Garg, Anthony Dick, Ian Reid

Predicting Demographics of High-Resolution Geographies with Geotagged Tweets / 1460
Omar Montasser, Daniel Kifer

Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization / 1467
Arun Reddy Nelakurthi, Jingrui He

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation / 1474
Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen

Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU / 1481
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka

Enabling Dark Energy Science with Deep Generative Models of Galaxy Images / 1488
Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff Schneider, Barnabas Poczos

Unsupervised Deep Learning for Optical Flow Estimation / 1495
Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha

Low-Rank Linear Cold-Start Recommendation from Social Data / 1502
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units / 1509
Wenling Shang, Justin Chiu, Kihyuk Sohn

Portfolio Selection via Subset Resampling / 1517
Weiwei Shen, Jun Wang

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks / 1524
Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction / 1532
Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi

Neural Programming by Example / 1539
Chengxun Shu, Hongyu Zhang

Simultaneous Clustering and Ensemble / 1546
Zhiqiang Tao, Hongfu Liu, Yun Fu

A Deep Hierarchical Approach to Lifelong Learning in Minecraft / 1553
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor

Learning Attributes from the Crowdsourced Relative Labels / 1562
Tian Tian, Ning Chen, Jun Zhu

Coupling Implicit and Explicit Knowledge for Customer Volume Prediction / 1569
Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong

Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation / 1576
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

Multiset Feature Learning for Highly Imbalanced Data Classification / 1583
Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation / 1590
Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks / 1597
Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu

Progressive Prediction of Student Performance in College Programs / 1604
Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar

Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments / 1611
Linli Xu, Chao Zhang

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval / 1618
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification / 1626
Meng Yang, Lin Chen

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images / 1633
Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay / 1640
Haiyan Yin, Sinno Jialin Pan

Personalized Donor-Recipient Matching for Organ Transplantation / 1647
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction / 1655
Junbo Zhang, Yu Zheng, Dekang Qi

Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction / 1662
Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You

Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback / 1669
Yan Zhang, Defu Lian, Guowu Yang

Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations / 1676
Kai Zhu, Zhen Chen, Lei Ying

Machine Learning Methods

Learning Bayesian Networks with Incomplete Data by Augmentation / 1684
Tameem Adel, Cassio P. de Campos

Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption / 1691
Tameem Adel, Han Zhao, Alexander Wong

Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning / 1698
Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain

The Bernstein Mechanism: Function Release under Differential Privacy / 1705
Francesco Aldá, Benjamin I. P. Rubinstein

Heavy-Tailed Analogues of the Covariance Matrix for ICA / 1712
Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher

Fast Generalized Distillation for Semi-Supervised Domain Adaptation / 1719
Shuang Ao, Xiang Li, Charles X. Ling

The Option-Critic Architecture / 1726
Pierre-Luc Bacon, Jean Harb, Doina Precup

Label Efficient Learning by Exploiting Multi-Class Output Codes / 1735
Maria Florina Balcan, Travis Dick, Yishay Mansour

Robust Partially-Compressed Least-Squares / 1742
Stephen Becker, Ban Kawas, Marek Petrik

Learning Residual Alternating Automata / 1749
Sebastian Berndt, Maciej Liśkiewicz, Matthias Lutter, Rüdiger Reischuk

Resource Constrained Structured Prediction / 1756
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

Cross-Domain Kernel Induction for Transfer Learning / 1763
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang

Informative Subspace Learning for Counterfactual Inference / 1770
Yale Chang, Jennifer G. Dy

PAC Identification of a Bandit Arm Relative to a Reward Quantile / 1777
Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Classification with Minimax Distance Measures / 1784
Morteza Haghir Chehreghani

Latent Discriminant Analysis with Representative Feature Discovery / 1791
Gang Chen

Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting / 1798
Lin Chen, Hamed Hassani, Amin Karbasi

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis / 1805
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen

Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features / 1812
Zihao Chen, Luo Luo, Zhihua Zhang

OFFER: Off-Environment Reinforcement Learning / 1819
Kamil Andrzej Ciosek, Shimon Whiteson

Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests / 1826
Zachary Alan Daniels, Dimitris N. Metaxas

Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction / 1833
Sakyasingha Dasgupta, Takayuki Osogami

Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems / 1840
Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli

Scalable Multitask Policy Gradient Reinforcement Learning / 1847
Salam El Bsat, Haitham Bou Ammar, Matthew E. Taylor

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach / 1854
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models / 1861
Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell

Structure Regularized Unsupervised Discriminant Feature Analysis / 1870
Mingyu Fan, Xiaojun Chang, Dacheng Tao

Self-Paced Learning: An Implicit Regularization Perspective / 1877
Yanbo Fan, Ran He, Jian Liang, Baogang Hu

Deep MIML Network / 1884
Ji Feng, Zhi-Hua Zhou

Modeling Skewed Class Distributions by Reshaping the Concept Space / 1891
Kyle D. Feuz, Diane J. Cook

On Learning High Dimensional Structured Single Index Models / 1898
Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert Nowak

Local Centroids Structured Non-Negative Matrix Factorization / 1905
Hongchang Gao, Feiping Nie, Heng Huang

Low-Rank Factorization of Determinantal Point Processes / 1912
Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Robust Loss Functions under Label Noise for Deep Neural Networks / 1919
Aritra Ghosh, Himanshu Kumar, P. S. Sastry

Exploring Commonality and Individuality for Multi-Modal Curriculum Learning / 1926
Chen Gong

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO / 1934
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected / 1941
Aditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm / 1948
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok

Convex Co-Embedding for Matrix Completion with Predictive Side Information / 1955
Yuhong Guo

Continuous Conditional Dependency Network for Structured Regression / 1962
Chao Han, Mohamed Ghalwash, Zoran Obradovic

Bilateral k-Means Algorithm for Fast Co-Clustering / 1969
Junwei Han, Kun Song, Feiping Nie, Xuelong Li

Alternating Back-Propagation for Generator Network / 1976
Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu

Enumerate Lasso Solutions for Feature Selection / 1985
Satoshi Hara, Takanori Maehara

Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling / 1992
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

Learning Invariant Deep Representation for NIR-VIS Face Recognition / 2000
Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression / 2007
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low

Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation / 2015
Peng Hou, Xin Geng, Zeng-Wei Huo, Jia-Qi Lv

Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems / 2022
Brian Hrolenok, Byron Boots, Tucker Hybinette Balch

Sequential Classification-Based Optimization for Direct Policy Search / 2029
Yi-Qi Hu, Hong Qian, Yang Yu

A Riemannian Network for SPD Matrix Learning / 2036
Zhiwu Huang, Luc Van Gool

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization / 2043
Zhouyuan Huo, Heng Huang

Learning Unitary Operators with Help From u(n) / 2050
Stephanie L. Hyland, Gunnar Rätsch

Denoising Criterion for Variational Auto-Encoding Framework / 2059
Daniel Im Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

Recovering True Classifier Performance in Positive-Unlabeled Learning / 2066
Shantanu Jain, Martha White, Predrag Radivojac

Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning / 2073
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu

Twin Learning for Similarity and Clustering: A Unified Kernel Approach / 2080
Zhao Kang, Chong Peng, Qiang Cheng

Tunable Sensitivity to Large Errors in Neural Network Training / 2087
Gil Keren, Sivan Sabato, Björn Schuller

Binary Embedding with Additive Homogeneous Kernels / 2094
Saehoon Kim, Seungjin Choi

Structured Inference Networks for Nonlinear State Space Models / 2101
Rahul G. Krishnan, Uri Shalit, David Sontag

Estimating Uncertainty Online Against an Adversary / 2110
Volodymyr Kuleshov, Stefano Ermon

Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance / 2117
Atsutoshi Kumagai, Tomoharu Iwata

Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration / 2124
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz

Dynamic Action Repetition for Deep Reinforcement Learning / 2133
Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran

Playing FPS Games with Deep Reinforcement Learning / 2140
Guillaume Lample, Devendra Singh Chaplot

Transfer Reinforcement Learning with Shared Dynamics / 2147
Romain Laroche, Merwan Barlier

Transfer Learning for Deep Learning on Graph-Structured Data / 2154
Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon

Efficient Online Model Adaptation by Incremental Simplex Tableau / 2161
Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu

Multivariate Hawkes Processes for Large-Scale Inference / 2168
Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos

Self-Paced Multi-Task Learning / 2175
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

Infinitely Many-Armed Bandits with Budget Constraints / 2182
Haifang Li, Yingce Xia

Sparse Subspace Clustering by Learning Approximation ℓ0 Codes / 2189
Jun Li, Yu Kong, Yun Fu

Riemannian Submanifold Tracking on Low-Rank Algebraic Variety / 2196
Qian Li, Zhichao Wang

Large Graph Hashing with Spectral Rotation / 2203
Xuelong Li, Di Hu, Feiping Nie

Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting / 2210
Xutao Li, Yunming Ye, Xiaofei Xu

Learning Safe Prediction for Semi-Supervised Regression / 2217
Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis / 2224
Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin

Balanced Clustering with Least Square Regression / 2231
Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li

Ordinal Constrained Binary Code Learning for Nearest Neighbor Search / 2238
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang

Sparse Deep Transfer Learning for Convolutional Neural Network / 2245
Jiaming Liu, Yali Wang, Yu Qiao

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction / 2252
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

Multiple Kernel k-Means with Incomplete Kernels / 2259
Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

Optimal Neighborhood Kernel Clustering with Multiple Kernels / 2266
Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

Generalization Analysis for Ranking Using Integral Operator / 2273
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

Infinite Kernel Learning: Generalization Bounds and Algorithms / 2280
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

Accelerated Variance Reduced Stochastic ADMM / 2287
Yuanyuan Liu, Fanhua Shang, James Cheng

Semi-Supervised Classifications via Elastic and Robust Embedding / 2294
Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

Approximate Conditional Gradient Descent on Multi-Class Classification / 2301
Zhuanghua Liu, Ivor Tsang

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling / 2308
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng

Active Search for Sparse Signals with Region Sensing / 2315
Yifei Ma, Roman Garnett, Jeff Schneider

Where to Add Actions in Human-in-the-Loop Reinforcement Learning / 2322
Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction / 2329
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu

Generalization Error Bounds for Optimization Algorithms via Stability / 2336
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu

When and Why Are Deep Networks Better Than Shallow Ones? / 2343
Hrushikesh Mhaskar, Qianli Liao, Tomaso Poggio

Lifted Inference for Convex Quadratic Programs / 2350
Martin Mladenov, Leonard Kleinhans, Kristian Kersting

Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions / 2357
Alejandro Molina, Sriraam Natarajan, Kristian Kersting

Deep Collective Inference / 2364
John Moore, Jennifer Neville

Streaming Classification with Emerging New Class by Class Matrix Sketching / 2373
Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou

Deep Hashing: A Joint Approach for Image Signature Learning / 2380
Yadong Mu, Zhu Liu

Tsallis Regularized Optimal Transport and Ecological Inference / 2387
Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen

The Multivariate Generalised von Mises Distribution: Inference and Applications / 2394
Alexandre K. W. Navarro, Jes Frellsen, Richard E. Turner

Querying Partially Labelled Data to Improve a K-nn Classifier / 2401
Vu-Linh Nguyen, Sébastien Destercke, Marie-Helene Masson

Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours / 2408
Feiping Nie, Guohao Cai, Xuelong Li

Multiclass Capped ℓp-Norm SVM for Robust Classifications / 2415
Feiping Nie, Xiaoqian Wang, Heng Huang

Unsupervised Large Graph Embedding / 2422
Feiping Nie, Wei Zhu, Xuelong Li

Matching Node Embeddings for Graph Similarity / 2429
Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier / 2436
U.N. Niranjan, Arun Rajkumar

Active Search in Intensionally Specified Structured Spaces / 2443
Dino Oglic, Roman Garnett, Thomas Gaertner

Top-k Hierarchical Classification / 2450
Sechan Oh

Unimodal Thompson Sampling for Graph-Structured Arms / 2457
Stefano Paladino, Francesco Trovó, Marcello Restelli, Nicola Gatti

Accelerated Gradient Temporal Difference Learning / 2464
Yangchen Pan, Adam White, Martha White

A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization / 2471
Hanyang Peng, Yong Fan

Cascade Subspace Clustering / 2478
Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi

Column Networks for Collective Classification / 2485
Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh

A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters / 2492
Reihaneh Rabbany, Osmar R. Zaïane

Non-Negative Inductive Matrix Completion for Discrete Dyadic Data / 2499
Piyush Rai

Online Active Linear Regression via Thresholding / 2506
Carlos Riquelme, Ramesh Johari, Baosen Zhang

Adaptive Proximal Average Approximation for Composite Convex Minimization / 2513
Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

Random Features for Shift-Invariant Kernels with Moment Matching / 2520
Weiwei Shen, Zhihui Yang, Jun Wang

Compressed K-Means for Large-Scale Clustering / 2527
Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun

Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks / 2534
Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao

Asymmetric Discrete Graph Hashing / 2541
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang

Spectral Clustering with Brainstorming Process for Multi-View Data / 2548
Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim

Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning / 2555
Kun Song, Feiping Nie, Junwei Han, Xuelong Li

Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis / 2562
Xiaonan Song, Haiping Lu

Distributed Negative Sampling for Word Embeddings / 2569
Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge / 2576
Russell Stewart, Stefano Ermon

Unsupervised Learning with Truncated Gaussian Graphical Models / 2583
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin

Automatic Curriculum Graph Generation for Reinforcement Learning Agents / 2590
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone

Self-Correcting Models for Model-Based Reinforcement Learning / 2597
Erik Talvitie

Distant Domain Transfer Learning / 2604
Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang

Confidence-Rated Discriminative Partial Label Learning / 2611
Cai-Zhi Tang, Min-Ling Zhang

Cross-Domain Ranking via Latent Space Learning / 2618
Jie Tang, Wendy Hall

How to Train a Compact Binary Neural Network with High Accuracy? / 2625
Wei Tang, Gang Hua, Liang Wang

Policy Search with High-Dimensional Context Variables / 2632
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama

Coactive Critiquing: Elicitation of Preferences and Features / 2639
Stefano Teso, Paolo Dragone, Andrea Passerini

Importance Sampling with Unequal Support / 2646
Philip S. Thomas, Emma Brunskill

Achieving Privacy in the Adversarial Multi-Armed Bandit / 2653
Aristide Charles Yedia Tossou, Christos Dimitrakakis

Thompson Sampling for Stochastic Bandits with Graph Feedback / 2660
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt Dubhashi

Selecting Sequences of Items via Submodular Maximization / 2667
Sebastian Tschiatschek, Adish Singla, Andreas Krause

Variable Kernel Density Estimation in High-Dimensional Feature Spaces / 2674
Christiaan Maarten van der Walt, Etienne Barnard

Regularization for Unsupervised Deep Neural Nets / 2681
Baiyang Wang, Diego Klabjan

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction / 2688
Hao Wang, Xingjian Shi, Dit-Yan Yeung

Factorization Bandits for Interactive Recommendation / 2695
Huazheng Wang, Qingyun Wu, Hongning Wang

Latent Smooth Skeleton Embedding / 2703
Li Wang, Qi Mao, Ivor W. Tsang

Polynomial Optimization Methods for Matrix Factorization / 2710
Po-Wei Wang, Chun-Liang Li, J. Zico Kolter

Two-Dimensional PCA with F-Norm Minimization / 2718
Qianqian Wang, Quanxue Gao

Feature Selection Guided Auto-Encoder / 2725
Shuyang Wang, Zhengming Ding, Yun Fu

Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation / 2732
Wei Wang, Hao Wang, Chen Zhang, Yang Gao

Fast Online Incremental Learning on Mixture Streaming Data / 2739
Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation / 2746
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang

Unbiased Multivariate Correlation Analysis / 2754
Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

Beyond RPCA: Flattening Complex Noise in the Frequency Domain / 2761
Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding / 2768
Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

Rank Ordering Constraints Elimination with Application for Kernel Learning / 2775
Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu

Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming / 2782
Hai-Ming Xu, Hui Xue, Xiao-Hong Chen, Yun-Yun Wang

Cleaning the Null Space: A Privacy Mechanism for Predictors / 2789
Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer

Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee / 2796
Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang

A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning / 2803
Zheng Xu, Junzhou Huang

Multi-View Correlated Feature Learning by Uncovering Shared Component / 2810
Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao

A Framework of Online Learning with Imbalanced Streaming Data / 2817
Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records / 2824
Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guotong Xie, Junfeng Zhao, Bing Xie, Fei Wang

Deep Learning for Fixed Model Reuse / 2831
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

Learning Deep Latent Space for Multi-Label Classification / 2838
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang

A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information / 2845
Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit Dhillon, Chih-Jen Lin

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient / 2852
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

CBRAP: Contextual Bandits with RAndom Projection / 2859
Xiaotian Yu, Michael R. Lyu, Irwin King

An Exact Penalty Method for Binary Optimization Based on MPEC Formulation / 2867
Ganzhao Yuan, Bernard Ghanem

Scalable Feature Selection via Distributed Diversity Maximization / 2876
Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab Mirrokni, Morteza Zadimoghaddam

Fast Compressive Phase Retrieval under Bounded Noise / 2884
Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

Query-Efficient Imitation Learning for End-to-End Simulated Driving / 2891
Jiakai Zhang, Kyunghyun Cho

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning / 2898
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

Universum Prescription: Regularization Using Unlabeled Data / 2907
Xiang Zhang, Yann LeCun

Learning Sparse Task Relations in Multi-Task Learning / 2914
Yu Zhang, Qiang Yang

Multi-View Clustering via Deep Matrix Factorization / 2921
Handong Zhao, Zhengming Ding, Yun Fu

SCOPE: Scalable Composite Optimization for Learning on Spark / 2928
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li

Lock-Free Optimization for Non-Convex Problems / 2935
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li

Scalable Graph Embedding for Asymmetric Proximity / 2942
Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao

Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations / 2949
Yang Zhou, Haiping Lu, Yiu-ming Cheung

Parametric Dual Maximization for Non-Convex Learning Problems / 2956
Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace / 2963
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification / 2970
Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu

Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning / 2977
Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou

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