Tuesday, August 16, 2016

KDD 2016: Papers and Videos

 KDD 2016 is currently going on right now. Here are the papers and video presentation of said papers for the research track. Enjoy !
All the videos can be found directly here.


Title & Authors
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks
Author(s): Yizhou Zhang*, Fudan University; Xiong Yun, ; Xiangnan Kong, Worcester Polytechnic Institute; Yangyong Zhu, Fudan University
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data
Author(s): Payam Siyari*, Georgia Institute of Technology; Bistra Dilkina, Georgia Tech; Constantine Dovrolis, Georgia Institute of Technology
Skinny-dip: Clustering in a Sea of Noise
Author(s): Samuel Maurus*, Helmholtz Zentrum München; Claudia Plant
Goal-Directed Inductive Matrix Completion
Author(s): Si Si*, Ut austin; Kai-Yang Chiang, UT Austin; Cho-Jui Hsieh, UT Austin; Nikhil Rao, Technicolor Research; Inderjit Dhillon, UTexas
Sampling of Attributed Networks From Hierarchical Generative Models
Author(s): Pablo Robles Granda*, Purdue University; Sebastian Moreno, ; Jennifer Neville, Purdue
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity
Author(s): Lifang He*, ; CHUN-TA LU, UIC; Jiaqi Ma, Tsinghua University; Jianping Cao, NUDT; Linlin Shen, ; Philip S. Yu, UI Chicago
Privacy-preserving Class Ratio Estimation
Author(s): Arun Iyer*, ; Saketh Nath, IIT Bombay; Sunita Sarawagi, IIT Bombay
Structured Doubly Stochastic Matrix for Graph Based Clustering
Author(s): Xiaoqian Wang, Univ. of Texas at Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington
Approximate Personalized PageRank on Dynamic Graphs
Author(s): Hongyang Zhang*, Stanford University; Peter Lofgren, Stanford University
Assessing Human Error Against a Benchmark of Perfection
Author(s): Ashton Anderson*, Stanford University; Jon Kleinberg, Cornell University; Sendhil Mullainathan, Harvard
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
Author(s): Yue Ning*, Virginia Tech; Sathappan Muthiah, Virginia Tech; Huzefa Rangwala, George Mason University; Naren Ramakrishnan, Virginia Tech
Smart Reply: Automated Response Suggestion for Email
Author(s): Anjuli Kannan, ; Karol Kurach*, Google; Sujith Ravi, Google; Tobias Kaufmann, Google, Inc.; Andrew Tomkins, ; Balint Miklos, Google, Inc.; Greg Corrado, ; László Lukács, ; Marina Ganea, ; Peter Young, ; Vivek Ramavajjala
Efficient Frequent Directions Algorithm for Sparse Matrices
Author(s): Mina Ghashami*, University of utah; Edo Liberty, Yahoo ; Jeff Phillips, School of Computing, University of Utah
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective
Author(s): Tong Xu*, USTC; Hengshu Zhu, Baidu Inc.; Xiangyu Zhao, USTC; Hao Zhong, Rutgers University; Qi Liu, University of Science and Technology of China; Enhong Chen, ; Hui Xiong, Rutgers
Robust Extreme Multi-label Learning
Author(s): Chang Xu*, Peking University; Dacheng Tao, University of Technology Sydney; Chao Xu, Peking University
The Limits of Popularity-Based Recommendations, and the Role of Social Ties
Author(s): Marco Bressan*, Sapienza University of Rome; Stefano Leucci, Sapienza University of Rome; Alessandro Panconesi, Sapienza University of Rome; Prabhakar Raghavan, Google; Erisa Terolli, Sapienza University of Rome
Communication Efficient Distributed Kernel Principal Component Analysis
Author(s): Yingyu Liang*, Princeton University; Bo Xie, ; David Woodruff, IBM Research; Le Song, ; Maria-Florina Balcan,
Come-and-Go Patterns of Group Evolution: A Dynamic Model
Author(s): Tianyang Zhang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University; Wenwu Zhu, Tsinghua University; Shiqiang Yang,
Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability
Author(s): Lingfei Wu*, College of William and Mary; En-Hsu Yen, University of Texas at Austin; Jie Chen, IBM Research; Rui Yan, Baidu Inc.
GMove: Group-Level Mobility Modeling using Geo-Tagged Social Media
Author(s): Chao Zhang*, UIUC; Keyang Zhang, ; Quan Yuan, University of Illinois Urbana-; Luming Zhang, ; Tim Hanratty, ; Jiawei Han, University of Illinois at Urbana-Champaign
Just One More: Modeling Binge Watching Behavior
Author(s): William Trouleau, EPFL; Azin Ashkan*, Technicolor; Weicong Ding, Technicolor Research; Brian Eriksson, Technicolor
Inferring Network Effects from Observational Data
Author(s): David Arbour*, University of Massachusetts Am; Dan Garant, University of Massachusetts Amherst; David Jensen, UMass Amherst
Robust Large-Scale Machine Learning in the Cloud
Author(s): Steffen Rendle*, Google; Dennis Fetterly, Google, Inc.; Eugene Shekita, Google, Inc.; Bor-Yiing Su, Google, Inc.
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems
Author(s): Igor Melnyk*, University of Minnesota; Arindam Banerjee, University of Minnesota; Bryan Matthews, Nasa Ames Research Center; Nikunj Oza, Nasa Ames Research Center
Partial Label Learning via Feature-Aware Disambiguation
Author(s): Min-Ling Zhang*, Southeast University; Binbin Zhou, Southeast University; Xu-Ying Liu, Southeast University
A Subsequence Interleaving Model for Sequential Pattern Mining
Author(s): Jaroslav Fowkes*, University of Edinburgh; Charles Sutton, University of Edinburgh
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification
Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Xiu-Feng Wan, Mississippi State University; Tong Zhang, Rutgers University
XGBoost: A Scalable Tree Boosting System
Author(s): Tianqi Chen*, University of washington; Carlos Guestrin, Dato/Univ of Washington
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks
Author(s): Chen Chen*, Arizona State Unversity; Hanghang Tong, Arizona State University; Lei Xie, City University of New York; Lei YIng, Arizona State University; Qing He, Arizona State University
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs
Author(s): Emaad Manzoor, Stony Brook University; Leman Akoglu*, SUNY Stony Brook
Structural Neighborhood based Classification of Nodes in a Network
Author(s): Sharad Nandanwar*, Indian Institute of Science; Musti Narasimha Murty, Indian Institute of Science
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams
Author(s): Hesam Amoualian*, University Grenoble Alps; Marianne Clausel, University of Grenoble Alps; Eric Gaussier, University of Grenoble Alps; Massih-Reza Amini, University of Grenoble Alps
Continuous Experience-aware Language Model
Author(s): Subhabrata Mukherjee*, Max Planck Informatics; Stephan Günnemann, Technical University of Munich; Gerhard Weikum, Max Planck Institute for Informatics
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilari
Author(s): Ting Kai Ming*, Federation University; YE ZHU, Monash University; Mark Carman, Monash University; Yue Zhu, Nanjing University
“Why Should I Trust you?” Explaining the Predictions of Any Classifier
Author(s): Marco Tulio Ribeiro*, University of Washington; Sameer Singh, """University of Washington, Seattle"""; Carlos Guestrin, Dato/Univ of Washington
Graph Wavelets via Sparse Cuts
Author(s): Arlei Lopes da Silva*, UC, Santa Barbara; Xuan-Hong Dang, UCSB; Prithwish Basu, Raytheon BBN; Ambuj Singh, UCSB; Ananthram Swami, Army Lab
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization
Author(s): Junming Liu, Rutgers University; Leilei Sun, ; Hui Xiong*, Rutgers; Weiwei Chen,
A multiple test correction for streams and cascades of statistical hypothesis tests
Author(s): Geoff Webb*, Monash University; Francois Petitjean, Monash
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detectio
Author(s): Hao Hu, University of Central Florida; Joey Velez-Ginorio, University of Central Florida; Guojun Qi*, University of Central Florida
Unified Point-of-Interest Recommendation with Temporal Interval Assessment
Author(s): Yanchi Liu*, Rutgers University; Chuanren Liu, Drexel University; Bin Liu, Rutgers University; Meng Qu, Rutgers University; Hui Xiong, Rutgers
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches
Author(s): Daniel Ting*, Facebook
TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size
Author(s): Lorenzo De Stefani*, Brown University; Alessandro Epasto, Brown; Matteo Riondato, Two Sigma Investments; Eli Upfal, Brown University
ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages
Author(s): Matteo Riondato*, Two Sigma Investments; Eli Upfal, Brown University
Annealed Sparsity via Adaptive and Dynamic Shrinking
Author(s): Kai Zhang*, NEC labs America; Shandian Shan, Purdue University; Zhengzhang Chen, NEC Lab America; Chaoran Cheng, New Jersey Institute of Technology; Zhi Wei, New Jersey Institute of Technology; Guofei Jiang, NEC labs America; Jieping Ye,
QUINT: On Query-Specific Optimal Networks
Author(s): Liangyue Li*, Arizona State University; Yuan Yao, Nanjing University; Jie Tang, Tsinghua University; Wei Fan, Baidu; Hanghang Tong, Arizona State University
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends
Author(s): Yong Ge, UNC Charlotte; Huayu Li*, University of North Carolina a; Hengshu Zhu, Baidu Inc.
FINAL: Fast Attributed Network Alignment
Author(s): Si Zhang*, Arizona State University; Hanghang Tong, Arizona State University
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations
Author(s): Wei Cheng*, NEC Labs America; Kai Zhang, NEC labs America; Haifeng Chen, NEC Research Lab; Guofei Jiang, NEC labs America; Wei Wang, UC Los Angeles
Predicting Matchups and Preferences in Context
Author(s): Shuo Chen*, Cornell; Thorsten Joachims, Cornell University
Accelerating Online CP Decompositions for Higher Order Tensors
Author(s): Shuo Zhou*, University of melbourne; Nguyen Vinh, University of Melbourne; James Bailey, ; Yunzhe Jia, University of Melbourne; Ian Davidson, University of California-Davis
Compact and Scalable Graph Neighborhood Sketching
Author(s): Takuya Akiba*, NII; Yosuke Yano, National Institute of Informatics
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns
Author(s): Roel Bertens*, Universiteit Utrecht; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University; Arno Siebes,
Robust Influence Maximization
Author(s): Xinran He*, University of Southern California; David Kempe, University of Southern California
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks
Author(s): Shuangfei Zhai*, Binghamton University; Keng-hao Chang, Microsoft; Ruofei Zhang, Microsoft; Zhongfei Zhang,
When Social Influence Meets Item Inference
Author(s): Hui-Ju Hung, Pennsylvania State University; Hong-Han Shuai, Academia Sinica; De-Nian Yang*, Academic Sinica; Liang-Hao Huang, Academia Sinica; Wang-Chien Lee, The Pennsylvania State University; Jian Pei, Simon Fraser University; Ming-Syan Chen, National Taiwan University
PTE: Enumerating Trillion Triangles On Distributed Systems
Author(s): Ha-Myung Park*, KAIST; Sung-Hyon Myaeng, KAIST; U Kang, Seoul National University
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic
Author(s): Himanshu Jain*, IIT Delhi; Yashoteja Prabhu, ; Manik Varma,
Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences
Author(s): Yasuko Matsubara*, Kumamoto University; Yasushi Sakurai, Kumamoto University
node2vec: Scalable Feature Learning for Networks
Author(s): Aditya Grover*, Stanford University; Jure Leskovec, Stanford University
Structural Deep Network Embedding
Author(s): DAIXIN WANG*, TSINGHUA UNIVERSITY; Peng Cui, Tsinghua University; Wenwu Zhu, Tsinghua University
Mining Subgroups with Exceptional Transition Behavior
Author(s): Florian Lemmerich*, Gesis; Martin Becker, University of Würzburg; Philipp Singer, Gesis; Denis Helic, TU Graz; Andreas Hotho, University of Wuerzburg; Markus Strohmaier,
Asymmetric Transitivity Preserving Graph Embedding
Author(s): Mingdong Ou*, Tsinghua University; Peng Cui, Tsinghua University; Jian Pei, Simon Fraser University; Wenwu Zhu, Tsinghua University
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets
Author(s): Son Mai*, Aarhus University; Ira Assent, ; Martin Storgaard, Aarhus University
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors
Author(s): Meng Jiang*, UIUC; Christos Faloutsos, Carnegie Mellon University; Jiawei Han, University of Illinois at Urbana-Champaign
Dynamic Clustering of Streaming Short Documents
Author(s): Shangsong Liang*, University College London; Emine Yilmaz, University College London; Evangelos Kanoulas, University of Amsterdam
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
Author(s): Bryan Hooi*, Carnegie Mellon University; Hyun Ah Song, Carnegie Mellon University; Alex Beutel, Carnegie Mellon University; Neil Shah, Carnegie Mellon University; Kijung Shin, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University
Towards Conversational Recommender Systems
Author(s): Konstantina Christakopoulou*, University of Minnesota; Katja Hofmann, Microsoft; Filip Radlinski, Microsoft
Robust Influence Maximization
Author(s): Wei Chen, Microsoft Research; Tian Lin*, Tsinghua University; Zihan Tan, IIIS, Tsinghua University; Mingfei Zhao, IIIS, Tsinghua University; Xuren Zhou, The Hong Kong University of Science and Technology
Positive-Unlabeled Learning in Streaming Networks
Author(s): Shiyu Chang*, UIUC; Yang Zhang, UIUC; Jiliang Tang, Yahoo Labs; Dawei Yin, ; Yi Chang, Yahoo! Labs; Mark Hasegawa-Johnson, UIUC; Thomas Huang, UIUC
Targeted Topic Modeling for Focused Analysis
Author(s): Shuai Wang*, University of Illinois at Chicago; Zhiyuan Chen, UIC; Geli Fei, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago; Sherry Emery, University of Illinois at Chicago


Title & Authors
Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Vari
Author(s): Haichuan Yang*, University of Rochester; Ryohei Fujimaki, NEC Laboratories America; Yukitaka Kusumura, NEC lab; Ji Liu, University of Rochester
Topic Modeling of Short Texts: A Pseudo-Document View
Author(s): Yuan Zuo*, Beihang University; Junjie Wu, ; Has Lin, ; Hui Xiong, Rutgers
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Desi
Author(s): Igor Labutov*, Cornell University
Online Context-Aware Recommendation with Time Varying Multi-Arm Bandit
Author(s): Chunqiu Zeng*, Florida International University; Qing Wang, Florida International Univ.; Tao Li, Florida International Univ; Shekoofeh Mokhtari, Florida International University
Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising
Author(s): Miguel Angel Alcobendas Lisbona*, Yahoo Inc; Kuang-chih Lee, Yahoo; Sheide Chammas, Yahoo
Improving Survey Aggregation with Sparsely Represented Signals
Author(s): Tianlin Shi, Stanford University; Forest Agostinelli*, Univ of California - Irvine; Matthew Staib, MIT; David Wipf, Microsoft Research; Thomas Moscibroda, Microsoft Research
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector
Author(s): NAN DU*, GEORGIA TECH; Hanjun Dai, ; Rakshit Trivedi, ; Utkarsh Upadhyay, Max Plank Institute; Manuel Gomez-Rodriguez, MPI-SWS; Le Song,
Interpretable Decision Sets: A Joint Framework for Description and Prediction
Author(s): Himabindu Lakkaraju*, Stanford University; Stephen Bach, Stanford University; Jure Leskovec, Stanford University
How to Compete Online for News Audience: Modeling Words that Attract Clicks
Author(s): Joon Hee Kim*, KAIST; Amin Mantrach, Yahoo! Research; Alex Jaimes, Yahoo!; Alice Oh, Korea Advanced Institute of Science and Technology
Towards Robust and Versatile Causal Discovery for Business Applications
Author(s): Giorgos Borboudakis*, University of Crete; Ioannis Tsamardinos,
A Closed-Loop Approach in Data-Driven Resource Allocation to Improve Network User Experience
Author(s): Yanan Bao*, University of California, Davi; Huasen Wu, UC Davis; Xin Liu, UC Davis
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression
Author(s): Zhi Nie*, Arizona State University; Pinghua Gong, ; Jieping Ye, University of Michigan at Ann Arbor
Scalable Betweenness Centrality Maximization via Sampling
Author(s): Ahmad Mahmoody*, Brown University; Eli Upfal, Brown University; Charalampos Tsourakakis, Harvard
Smart broadcasting: Do you want to be seen?
Author(s): Erfan Tavakoli, Sharif University; Mohammad Reza Karimi, Sharif University; Mehrdad Farajtabar, Georgia Tech; Le Song, ; Manuel Gomez-Rodriguez*, MPI-SWS
Squish: Near-Optimal Compression for Archival of Relational Datasets
Author(s): Yihan Gao*, University of Illinois; Aditya Parameswaran,
Data-driven Automatic Treatment Regimen Development and Recommendation
Author(s): Leilei Sun*, Dalian University of Technolog; Chuanren Liu, Drexel University; Chonghui Guo, ; Hui Xiong, Rutgers; Yanming Xie,
Reconstructing an Epidemic over Time
Author(s): Polina Rozenshtein, Aalto University; Aristides Gionis*, Aalto University; B. Aditya Prakash, Virginia Tech; Jilles Vreeken, Max-Planck Institute for Informatics and Saarland University
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices
Author(s): Yasuo Tabei*, JST; Hiroto Saigo, Kyushu Institute of Technology; Yoshihiro Yamanishi, Kyushu University; Simon Puglisi, Helsinki University
The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation
Author(s): BEIDOU WANG*, Simon Fraser University; Martin Ester, Simon Fraser University; Yikang Liao, Zhejiang University; Jiajun Bu, Zhejiang University; Yu Zhu, Zhejiang University; Deng Cai, ; Ziyu Guan,
Compressing Graphs and Indexes with Recursive Graph Bisection
Author(s): Laxman Dhulipala, Carnegie Mellon University; Igor Kabiljo, Facebook; Brian Karrer, Facebook; Giuseppe Ottaviano, Facebook; Sergey Pupyrev*, Facebook; Alon Shalita, Facebook
Portfolio Selections in P2P Lending: A Multi-Objective Perspective
Author(s): Hongke Zhao*, USTC; Guifeng Wang, USTC; Yong Ge, UNC Charlotte; Qi Liu, University of Science and Technology of China; Enhong Chen,
Latent Space Model for Road Networks to Predict Time-Varying Traffic
Author(s): Dingxiong Deng*, USC; Cyrus Shahabi, USC; Ugur Demiryurek, ; Linhong Zhu, ; Rose Yu, University of Southern Cal; Yan Liu,
Parallel Lasso Screening for Big Data Optimization
Author(s): Qingyang Li*, Arizona State University; Shuang Qiu, Umich; Shuiwang Ji, Washington State University; Jieping Ye, University of Michigan at Ann Arbor; Jie Wang, University of Michigan
Lossless Separation of Web Pages into Layout Code and Data
Author(s): Adi Omari*, Technion; Benny Kimelfeld, Technion; Sharon Shoham, Academic College of Tel Aviv Yaffo; Eran Yahav, Technion
A Multi-Task Learning Formulation for Survival Analysis
Author(s): Yan Li*, Wayne State University; Jie Wang, University of Michigan; Jieping Ye, University of Michigan at Ann Arbor; Chandan Reddy, Wayne State University
Scalable Pattern Matching over Compressed Graphs via Dedensification
Author(s): Antonio Maccioni*, Roma Tre University; Daniel Abadi, Yale University
Finding Gangs in War from Signed Networks
Author(s): Lingyang Chu*, Simon Fraser University; Zhefeng Wang, University of Science and Technology of China; Jian Pei, Simon Fraser University; Jiannan Wang, Simon Fraser University; Zijin Zhao, Simon Fraser University; Enhong Chen,
Online Asymmetric Active Learning with Imbalanced Data
Author(s): Xiaoxuan Zhang*, University of Iowa; Tianbao Yang, Univ of Iowa; Padmini Srinivasan, University of Iowa
Robust and Effective Metric Learning Using Capped Trace Norm
Author(s): Zhouyuan Huo, University of Texas, Arlington; Feiping Nie, University of Texas at Arlington; Heng Huang*, Univ. of Texas at Arlington
Burstiness Scale: a highly parsimonious model forcharacterizing random series of events
Author(s): Rodrigo Alves*, CEFET-MG; Renato Assunção, DCC-UFMG; Pedro O.S. Vaz de Melo, DCC-UFMG
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation
Author(s): Lei Han*, Rutgers University; Yu Zhang, Hong Kong University of Science and Technology; Tong Zhang, Rutgers University
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Author(s): Siddharth Reddy*, Cornell University; Igor Labutov, Cornell University; Siddhartha Banerjee, Cornell University; Thorsten Joachims, Cornell University
User Identity Linkage by Latent User Space Modelling
Author(s): Xin Mu*, Nanjing University; Feida Zhu, Singapore Management Univ.; Zhi-Hua Zhou, ; Ee-Peng Lim, Singapore Management University; Jing Xiao, ; Jianzong Wang,
Diversified Temporal Subgraph Pattern Mining
Author(s): Yi Yang, Fudan University; Da Yan, CUHK; Huanhuan Wu, CUHK; James Cheng*, CUHK; Shuigeng Zhou, Fudan University; John C.S. Lui, The Chinese University of Hong Kong
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting
Author(s): Liang Zhao*, VT; Jieping Ye, University of Michigan at Ann Arbor; Feng Chen, SUNY Albany; Chang-Tien Lu, Virginia Tech; Naren Ramakrishnan, Virginia Tech
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories
Author(s): Prithu Banerjee*, UBC; Pranali Yawalkar, IIT Madras; Sayan Ranu, IIT Madras
FUSE: Full Spectral Clustering
Author(s): Wei Ye*, University of Munich; Sebastian Goebl, University of Munich; Claudia Plant, ; Christian Boehm, University of Munich
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining
Author(s): Kazuya Nakagawa, Nagoya Institute of Technology; Shinya Suzumura, Nagoya Institute of Technology; Masayuki Karasuyama, ; Koji Tsuda, University of Tokyo; Ichiro Takeuchi*, Nagoya Institute of Technology Japan
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics
Author(s): Hao Wu, Fudan University; Jiangyun Mao, Fudan University; Weiwei Sun*, Fudan University; Baihua Zheng, Singapore Management University; Hanyuan Zhang, Fudan University; Ziyang Chen, Fudan University; Wei Wang, Fudan University
A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm
Author(s): Yanni Li, Xidian University; Hui Li*, Xidian University; Tihua Duan, Shanghai Finance University; Sheng Wang, Coventry University; Zhi Wang, Xidian University; Yang Cheng, Xidian University
A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization
Author(s): Jianhua Yin*, Tsinghua University; Jianyong Wang,
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations
Author(s): Bo Kang*, Ghent University; Jefrey Lijffijt, Ghent University; Raul Santos-Rodriguez, University of Bristol; Tijl De Bie, Ghen University
Compressing Convolutional Neural Networks in the Frequency Domain
Author(s): Wenlin Chen*, Washington University; James Wilson, University of Edinburgh; Stephen Tyree, NVIDIA; Kilian Weinberger, Cornell; Yixin Chen,
Causal Clustering for 1-Factor Measurement Models
Author(s): Erich Kummerfeld*, University of Pittsburgh; Joseph Ramsey, Carnegie Mellon University
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Ap
Author(s): Mengting Wan*, UC San Diego; Xiangyu Chen, University of Illinois, Urbana-Champaign; Lance Kaplan, U.S. Army Research Laboratory; Jiawei Han, University of Illinois at Urbana-Champaign; Jing Gao, ; Bo Zhao, LinkedIn
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test
Author(s): Denis Dos Reis*, Universidade de São Paulo; Gustavo Batista, Universidade de Sao Paulo at Sao Carlos; Peter Flach, University of Bristol; Stan Matwin, Dalhousie University
Learning Cumulatively to Become More Knowledgeable
Author(s): Geli Fei*, Univ of Illinois at Chicago; Shuai Wang, Univ of Illinois at Chicago; Bing Liu, Univ of Illinois at Chicago
Multi-Task Feature Interaction Learning
Author(s): KAIXIANG LIN*, Michigan State University; Jianpeng Xu, Michigan State University; Shuiwang Ji, Washington State University; Jiayu Zhou, Michigan State University
City-Scale Map Creation and Updating using GPS Collections
Author(s): Chen Chen*, Stanford University; Cewu Lu, Stanford University; Qixing Huang, Stanford University; Dimitrios Gunopulos, ; Leonidas Guibas, Stanford University; Qiang Yang, HKUST
Stochastic Optimization Techniques for Quantification Performance Measures
Author(s): Harikrishna Narasimhan, IACS, Harvard University; Shuai Li, University of Insubria; Purushottam Kar*, IIT Kanpur; Sanjay Chawla, QCRI-HBKU, Qatar; Fabrizio Sebastiani, QCRI-HBKU, Qatar
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach
Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Qi Li, SUNY Buffalo; Fenglong Ma, SUNY Buffalo; Lu Su, SUNY Buffalo; Yunlong Feng, KU Leuven; Aidong Zhang,
Transfer Knowledge between Cities
Author(s): Ying Wei*, Hong Kong Univ. of Sci. & Tech; Yu Zheng, Microsoft Research; Qiang Yang, HKUST
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Author(s): Yuyu Zhang*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Hang Su, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology
Effcient Processing of Network Proximity Queries via Chebyshev Acceleration
Author(s): Mustafa Coskun*, Case Western University; Ananth Grama, ; Mehmet Koyuturk,
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies
Author(s): Tao Yang*, Arizona State University; Jun Liu, SAS Institute Inc.; Pinghua Gong, University of Michigan; Ruiwen Zhang, SAS Institute Inc.; Xiaotong Shen, University of Minnesota; Jieping Ye, University of Michigan at Ann Arbor
Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environm
Author(s): Wei-Lin Chiang, National Taiwan University; Mu-Chu Lee, National Taiwan University; Chih-Jen Lin*, National Taiwan University
Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications
Author(s): Chengxi Zang*, Tsinghua University; Peng Cui, Tsinghua University; Christos Faloutsos, Carnegie Mellon University
Efficient Shift-Invariant Dictionary Learning
Author(s): Guoqing Zheng*, Carnegie Mellon University; Yiming Yang, ; Jaime Carbonell,
Multi-layer Representation Learning for Medical Concepts
Author(s): Edward Choi*, Georgia Institute of Technolog; Mohammad Bahadori, Georgia Institute of Technology; Jimeng Sun, Georgia Institute of Technology
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
Author(s): Xiang Ren*, UIUC; Wenqi He, UIUC; Meng Qu, UIUC; Heng Ji, PRI; Clare Voss, ARL; Jiawei Han, University of Illinois at Urbana-Champaign
Distributing the Stochastic Gradient Sampler for Large-Scale LDA
Author(s): Yuan Yang*, Beihang University; Jianfei Chen, Tsinghua University; Jun Zhu,
Lightweight Monitoring of Distributed Streams
Author(s): Daniel Keren*, University of Haifa; Assaf Schuster, Technion; Arnon Lazerson, Israeli Institute of technology
Accelerated Stochastic Block Coordinate Descent with Optimal Sampling
Author(s): Aston Zhang*, UIUC; Quanquan Gu, University of Virginia
Convex Optimization for Linear Query Processing under Approximate Differential Privacy
Author(s): Ganzhao Yuan*, SCUT; Yin Yang, ; Zhenjie Zhang, ; Zhifeng Hao,
Predicting Socio-Economic Indicators using News Events
Author(s): Sunandan Chakraborty*, NYU; Ashwin Venkataraman, New York University; Srikanth Jagabathula, New York University; Lakshminarayanan Subramanian, New York University
A Truth Discovery Approach with Theoretical Guarantee
Author(s): Houping Xiao*, SUNY Buffalo; Jing Gao, ; Zhaoran Wang, Princeton University; Shiyu Wang, UIUC; Lu Su, SUNY Buffalo; Han Liu, Princeton University
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks
Author(s): Zhipeng Huang*, University of Hong Kong; Yudian Zheng, The University of Hong Kong; Reynold Cheng, ; Yizhou Sun, Northeastern Univ; Nikos Mamoulis, ; Xiang Li, The University of Hong Kong
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay
Author(s): Yu Shi*, UIUC; Myunghwan Kim, LinkedIn Corporation; Shaunak Chatterjee, LinkedIn Corporation; Mitul Tiwari, LinkedIn Corporation; Souvik Ghosh, LinkedIn; Romer Rosales, LinkedIn
Infinite Ensemble for Image Clustering
Author(s): Hongfu Liu*, Northeastern University; Ming Shao, Northeastern University; Sheng Li, Northeastern University; Yun Fu, Northeastern University
Deep Visual-Semantic Hashing for Cross-Modal Retrieval
Author(s): Yue Cao, Tsinghua university; Mingsheng Long*, Tsinghua University; Jianmin Wang, Tsinghua University; Qiang Yang, HKUST; Philip Yu, UIC
Collaborative Multi-View Denoising
Author(s): Lei Zhang, Institute of Information Engin; Shupeng Wang, Iie; Xiao-Yu Zhang, IIE, CAS; Yong Wang, IIE,CAS; BinBin Li, Iie; Dinggang Shen, ; Shuiwang Ji*, Washington State University
Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stocko
Author(s): Ben Letham*, Facebook; Lydia Letham, MIT; Cynthia Rudin, MIT

Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments: