%*NetCycle: Collective Evolution Inference in Heterogeneous Information Networks
%@Yizhou Zhang,Xiong Yun,Xiangnan Kong,Yangyong Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-1.pdf

%*Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data
%@Payam Siyari,Bistra Dilkina,Constantine Dovrolis
%t2016
%cKDD
%f/KDD/KDD-2016-2.pdf

%*Skinny-dip: Clustering in a Sea of Noise
%@Samuel Maurus,Claudia Plant
%t2016
%cKDD
%f/KDD/KDD-2016-3.pdf

%*Goal-Directed Inductive Matrix Completion
%@Si Si,Kai-Yang Chiang,Cho-Jui Hsieh,Nikhil Rao,Inderjit Dhillon
%t2016
%cKDD
%f/KDD/KDD-2016-4.pdf

%*Sampling of Attributed Networks From Hierarchical Generative Models
%@Pablo Robles Granda,Sebastian Moreno,Jennifer Neville
%t2016
%cKDD
%f/KDD/KDD-2016-5.pdf

%*Joint Community and Structural Hole Spanner Detection via Harmonic Modularity
%@Lifang He,CHUN-TA LU,Jiaqi Ma,Jianping Cao,Linlin Shen,Philip S. Yu
%t2016
%cKDD
%f/KDD/KDD-2016-6.pdf

%*Privacy-preserving Class Ratio Estimation
%@Arun Iyer,Saketh Nath,Sunita Sarawagi
%t2016
%cKDD
%f/KDD/KDD-2016-7.pdf

%*Structured Doubly Stochastic Matrix for Graph Based Clustering
%@Xiaoqian Wang,Feiping Nie,Heng Huang
%t2016
%cKDD
%f/KDD/KDD-2016-8.pdf

%*Approximate Personalized PageRank on Dynamic Graphs
%@Hongyang Zhang,Peter Lofgren
%t2016
%cKDD
%f/KDD/KDD-2016-9.pdf

%*Assessing Human Error Against a Benchmark of Perfection
%@Ashton Anderson,Jon Kleinberg,Sendhil Mullainathan
%t2016
%cKDD
%f/KDD/KDD-2016-10.pdf

%*Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
%@Yue Ning,Sathappan Muthiah,Huzefa Rangwala,Naren Ramakrishnan
%t2016
%cKDD
%f/KDD/KDD-2016-11.pdf

%*Smart Reply: Automated Response Suggestion for Email
%@Anjuli Kannan,Karol Kurach,Sujith Ravi,Tobias Kaufmann,Andrew Tomkins,Balint Miklos,Greg Corrado,László Lukács,Marina Ganea,Peter Young,Vivek Ramavajjala
%t2016
%cKDD
%f/KDD/KDD-2016-12.pdf

%*Efficient Frequent Directions Algorithm for Sparse Matrices
%@Mina Ghashami,Edo Liberty,Jeff Phillips
%t2016
%cKDD
%f/KDD/KDD-2016-13.pdf

%*Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective
%@Tong Xu,Hengshu Zhu,Xiangyu Zhao,Hao Zhong,Qi Liu,Enhong Chen,Hui Xiong
%t2016
%cKDD
%f/KDD/KDD-2016-14.pdf

%*Robust Extreme Multi-label Learning
%@Chang Xu,Dacheng Tao,Chao Xu
%t2016
%cKDD
%f/KDD/KDD-2016-15.pdf

%*The Limits of Popularity-Based Recommendations, and the Role of Social Ties
%@Marco Bressan,Stefano Leucci,Alessandro Panconesi,Prabhakar Raghavan,Erisa Terolli
%t2016
%cKDD
%f/KDD/KDD-2016-16.pdf

%*Communication Efficient Distributed Kernel Principal Component Analysis
%@Yingyu Liang,Bo Xie,David Woodruff,Le Song,Maria-Florina Balcan
%t2016
%cKDD
%f/KDD/KDD-2016-17.pdf

%*Come-and-Go Patterns of Group Evolution: A Dynamic Model
%@Tianyang Zhang,Peng Cui,Christos Faloutsos,Wenwu Zhu,Shiqiang Yang
%t2016
%cKDD
%f/KDD/KDD-2016-18.pdf

%*Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability
%@Lingfei Wu,En-Hsu Yen,Jie Chen,Rui Yan
%t2016
%cKDD
%f/KDD/KDD-2016-19.pdf

%*GMove: Group-Level Mobility Modeling using Geo-Tagged Social Media
%@Chao Zhang,Keyang Zhang,Quan Yuan,Luming Zhang,Tim Hanratty,Jiawei Han
%t2016
%cKDD
%f/KDD/KDD-2016-20.pdf

%*Just One More: Modeling Binge Watching Behavior
%@William Trouleau,Azin Ashkan,Weicong Ding,Brian Eriksson
%t2016
%cKDD
%f/KDD/KDD-2016-21.pdf

%*Inferring Network Effects from Observational Data
%@David Arbour,Dan Garant,David Jensen
%t2016
%cKDD
%f/KDD/KDD-2016-22.pdf

%*Robust Large-Scale Machine Learning in the Cloud
%@Steffen Rendle,Dennis Fetterly,Eugene Shekita,Bor-Yiing Su
%t2016
%cKDD
%f/KDD/KDD-2016-23.pdf

%*Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems
%@Igor Melnyk,Arindam Banerjee,Bryan Matthews,Nikunj Oza
%t2016
%cKDD
%f/KDD/KDD-2016-24.pdf

%*Partial Label Learning via Feature-Aware Disambiguation
%@Min-Ling Zhang,Binbin Zhou,Xu-Ying Liu
%t2016
%cKDD
%f/KDD/KDD-2016-25.pdf

%*A Subsequence Interleaving Model for Sequential Pattern Mining
%@Jaroslav Fowkes,Charles Sutton
%t2016
%cKDD
%f/KDD/KDD-2016-26.pdf

%*Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification
%@Lei Han,Yu Zhang,Xiu-Feng Wan,Tong Zhang
%t2016
%cKDD
%f/KDD/KDD-2016-27.pdf

%*XGBoost: A Scalable Tree Boosting System
%@Tianqi Chen,Carlos Guestrin
%t2016
%cKDD
%f/KDD/KDD-2016-28.pdf

%*FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks
%@Chen Chen,Hanghang Tong,Lei Xie,Lei YIng,Qing He
%t2016
%cKDD
%f/KDD/KDD-2016-29.pdf

%*Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs
%@Emaad Manzoor,Leman Akoglu
%t2016
%cKDD
%f/KDD/KDD-2016-30.pdf

%*Structural Neighborhood based Classification of Nodes in a Network
%@Sharad Nandanwar,Musti Narasimha Murty
%t2016
%cKDD
%f/KDD/KDD-2016-31.pdf

%*Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams
%@Hesam Amoualian,Marianne Clausel,Eric Gaussier,Massih-Reza Amini
%t2016
%cKDD
%f/KDD/KDD-2016-32.pdf

%*Continuous Experience-aware Language Model
%@Subhabrata Mukherjee,Stephan Günnemann,Gerhard Weikum
%t2016
%cKDD
%f/KDD/KDD-2016-33.pdf

%*Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilari
%@Ting Kai Ming,YE ZHU,Mark Carman,Yue Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-34.pdf

%*“Why Should I Trust you?” Explaining the Predictions of Any Classifier
%@Marco Tulio Ribeiro,Sameer Singh,Carlos Guestrin
%t2016
%cKDD
%f/KDD/KDD-2016-35.pdf

%*Graph Wavelets via Sparse Cuts
%@Arlei Lopes da Silva,Xuan-Hong Dang,Prithwish Basu,Ambuj Singh,Ananthram Swami
%t2016
%cKDD
%f/KDD/KDD-2016-36.pdf

%*Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization
%@Junming Liu,Leilei Sun,Hui Xiong,Weiwei Chen
%t2016
%cKDD
%f/KDD/KDD-2016-37.pdf

%*A multiple test correction for streams and cascades of statistical hypothesis tests
%@Geoff Webb,Francois Petitjean
%t2016
%cKDD
%f/KDD/KDD-2016-38.pdf

%*Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detectio
%@Hao Hu,Joey Velez-Ginorio,Guojun Qi
%t2016
%cKDD
%f/KDD/KDD-2016-39.pdf

%*Unified Point-of-Interest Recommendation with Temporal Interval Assessment
%@Yanchi Liu,Chuanren Liu,Bin Liu,Meng Qu,Hui Xiong
%t2016
%cKDD
%f/KDD/KDD-2016-40.pdf

%*Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches
%@Daniel Ting
%t2016
%cKDD
%f/KDD/KDD-2016-41.pdf

%*TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size
%@Lorenzo De Stefani,Alessandro Epasto,Matteo Riondato,Eli Upfal
%t2016
%cKDD
%f/KDD/KDD-2016-42.pdf

%*ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages
%@Matteo Riondato,Eli Upfal
%t2016
%cKDD
%f/KDD/KDD-2016-43.pdf

%*Annealed Sparsity via Adaptive and Dynamic Shrinking
%@Kai Zhang,Shandian Shan,Zhengzhang Chen,Chaoran Cheng,Zhi Wei,Guofei Jiang,Jieping Ye
%t2016
%cKDD
%f/KDD/KDD-2016-44.pdf

%*QUINT: On Query-Specific Optimal Networks
%@Liangyue Li,Yuan Yao,Jie Tang,Wei Fan,Hanghang Tong
%t2016
%cKDD
%f/KDD/KDD-2016-45.pdf

%*Point-of-Interest Recommendations: Learning Potential Check-ins from Friends
%@Yong Ge,Huayu Li,Hengshu Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-46.pdf

%*FINAL: Fast Attributed Network Alignment
%@Si Zhang,Hanghang Tong
%t2016
%cKDD
%f/KDD/KDD-2016-47.pdf

%*Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations
%@Wei Cheng,Kai Zhang,Haifeng Chen,Guofei Jiang,Wei Wang
%t2016
%cKDD
%f/KDD/KDD-2016-48.pdf

%*Predicting Matchups and Preferences in Context
%@Shuo Chen,Thorsten Joachims
%t2016
%cKDD
%f/KDD/KDD-2016-49.pdf

%*Accelerating Online CP Decompositions for Higher Order Tensors
%@Shuo Zhou,Nguyen Vinh,James Bailey,Yunzhe Jia,Ian Davidson
%t2016
%cKDD
%f/KDD/KDD-2016-50.pdf

%*Compact and Scalable Graph Neighborhood Sketching
%@Takuya Akiba,Yosuke Yano
%t2016
%cKDD
%f/KDD/KDD-2016-51.pdf

%*Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns
%@Roel Bertens,Jilles Vreeken,Arno Siebes
%t2016
%cKDD
%f/KDD/KDD-2016-52.pdf

%*Robust Influence Maximization
%@Xinran He,David Kempe
%t2016
%cKDD
%f/KDD/KDD-2016-53.pdf

%*DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks
%@Shuangfei Zhai,Keng-hao Chang,Ruofei Zhang,Zhongfei Zhang
%t2016
%cKDD
%f/KDD/KDD-2016-54.pdf

%*When Social Influence Meets Item Inference
%@Hui-Ju Hung,Hong-Han Shuai,De-Nian Yang,Liang-Hao Huang,Wang-Chien Lee,Jian Pei,Ming-Syan Chen
%t2016
%cKDD
%f/KDD/KDD-2016-55.pdf

%*PTE: Enumerating Trillion Triangles On Distributed Systems
%@Ha-Myung Park,Sung-Hyon Myaeng,U Kang
%t2016
%cKDD
%f/KDD/KDD-2016-56.pdf

%*Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applic
%@Himanshu Jain,Yashoteja Prabhu,Manik Varma
%t2016
%cKDD
%f/KDD/KDD-2016-57.pdf

%*Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences
%@Yasuko Matsubara,Yasushi Sakurai
%t2016
%cKDD
%f/KDD/KDD-2016-58.pdf

%*node2vec: Scalable Feature Learning for Networks
%@Aditya Grover,Jure Leskovec
%t2016
%cKDD
%f/KDD/KDD-2016-59.pdf

%*Structural Deep Network Embedding
%@DAIXIN WANG,Peng Cui,Wenwu Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-60.pdf

%*Mining Subgroups with Exceptional Transition Behavior
%@Florian Lemmerich,Martin Becker,Philipp Singer,Denis Helic,Andreas Hotho,Markus Strohmaier
%t2016
%cKDD
%f/KDD/KDD-2016-61.pdf

%*Asymmetric Transitivity Preserving Graph Embedding
%@Mingdong Ou,Peng Cui,Jian Pei,Wenwu Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-62.pdf

%*AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets
%@Son Mai,Ira Assent,Martin Storgaard
%t2016
%cKDD
%f/KDD/KDD-2016-63.pdf

%*CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors
%@Meng Jiang,Christos Faloutsos,Jiawei Han
%t2016
%cKDD
%f/KDD/KDD-2016-64.pdf

%*Dynamic Clustering of Streaming Short Documents
%@Shangsong Liang,Emine Yilmaz,Evangelos Kanoulas
%t2016
%cKDD
%f/KDD/KDD-2016-65.pdf

%*FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
%@Bryan Hooi,Hyun Ah Song,Alex Beutel,Neil Shah,Kijung Shin,Christos Faloutsos
%t2016
%cKDD
%f/KDD/KDD-2016-66.pdf

%*Towards Conversational Recommender Systems
%@Konstantina Christakopoulou,Katja Hofmann,Filip Radlinski
%t2016
%cKDD
%f/KDD/KDD-2016-67.pdf

%*Robust Influence Maximization
%@Wei Chen,Tian Lin,Zihan Tan,Mingfei Zhao,Xuren Zhou
%t2016
%cKDD
%f/KDD/KDD-2016-68.pdf

%*Positive-Unlabeled Learning in Streaming Networks
%@Shiyu Chang,Yang Zhang,Jiliang Tang,Dawei Yin,Yi Chang,Mark Hasegawa-Johnson,Thomas Huang
%t2016
%cKDD
%f/KDD/KDD-2016-69.pdf

%*Targeted Topic Modeling for Focused Analysis
%@Shuai Wang,Zhiyuan Chen,Geli Fei,Bing Liu,Sherry Emery
%t2016
%cKDD
%f/KDD/KDD-2016-70.pdf

%*Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Vari
%@Haichuan Yang,Ryohei Fujimaki,Yukitaka Kusumura,Ji Liu
%t2016
%cKDD
%f/KDD/KDD-2016-72.pdf

%*Topic Modeling of Short Texts: A Pseudo-Document View
%@Yuan Zuo,Junjie Wu,Has Lin,Hui Xiong
%t2016
%cKDD
%f/KDD/KDD-2016-73.pdf

%*Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Desi
%@Igor Labutov
%t2016
%cKDD
%f/KDD/KDD-2016-74.pdf

%*Online Context-Aware Recommendation with Time Varying Multi-Arm Bandit
%@Chunqiu Zeng,Qing Wang,Tao Li,Shekoofeh Mokhtari
%t2016
%cKDD
%f/KDD/KDD-2016-75.pdf

%*Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising
%@Miguel Angel Alcobendas Lisbona,Kuang-chih Lee,Sheide Chammas
%t2016
%cKDD
%f/KDD/KDD-2016-76.pdf

%*Improving Survey Aggregation with Sparsely Represented Signals
%@Tianlin Shi,Forest Agostinelli,Matthew Staib,David Wipf,Thomas Moscibroda
%t2016
%cKDD
%f/KDD/KDD-2016-77.pdf

%*Recurrent Marked Temporal Point Processes: Embedding Event History to Vector
%@NAN DU,Hanjun Dai,Rakshit Trivedi,Utkarsh Upadhyay,Manuel Gomez-Rodriguez,Le Song
%t2016
%cKDD
%f/KDD/KDD-2016-78.pdf

%*Interpretable Decision Sets: A Joint Framework for Description and Prediction
%@Himabindu Lakkaraju,Stephen Bach,Jure Leskovec
%t2016
%cKDD
%f/KDD/KDD-2016-79.pdf

%*How to Compete Online for News Audience: Modeling Words that Attract Clicks
%@Joon Hee Kim,Amin Mantrach,Alex Jaimes,Alice Oh
%t2016
%cKDD
%f/KDD/KDD-2016-80.pdf

%*Towards Robust and Versatile Causal Discovery for Business Applications
%@Giorgos Borboudakis,Ioannis Tsamardinos
%t2016
%cKDD
%f/KDD/KDD-2016-81.pdf

%*A Closed-Loop Approach in Data-Driven Resource Allocation to Improve Network User Experience
%@Yanan Bao,Huasen Wu,Xin Liu
%t2016
%cKDD
%f/KDD/KDD-2016-82.pdf

%*Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression
%@Zhi Nie,Pinghua Gong,Jieping Ye
%t2016
%cKDD
%f/KDD/KDD-2016-83.pdf

%*Scalable Betweenness Centrality Maximization via Sampling
%@Ahmad Mahmoody,Eli Upfal,Charalampos Tsourakakis
%t2016
%cKDD
%f/KDD/KDD-2016-84.pdf

%*Smart broadcasting: Do you want to be seen?
%@Erfan Tavakoli,Mohammad Reza Karimi,Mehrdad Farajtabar,Le Song,Manuel Gomez-Rodriguez
%t2016
%cKDD
%f/KDD/KDD-2016-85.pdf

%*Squish: Near-Optimal Compression for Archival of Relational Datasets
%@Yihan Gao,Aditya Parameswaran
%t2016
%cKDD
%f/KDD/KDD-2016-86.pdf

%*Data-driven Automatic Treatment Regimen Development and Recommendation
%@Leilei Sun,Chuanren Liu,Chonghui Guo,Hui Xiong,Yanming Xie
%t2016
%cKDD
%f/KDD/KDD-2016-87.pdf

%*Reconstructing an Epidemic over Time
%@Polina Rozenshtein,Aristides Gionis,B. Aditya Prakash,Jilles Vreeken
%t2016
%cKDD
%f/KDD/KDD-2016-88.pdf

%*Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices
%@Yasuo Tabei,Hiroto Saigo,Yoshihiro Yamanishi,Simon Puglisi
%t2016
%cKDD
%f/KDD/KDD-2016-89.pdf

%*The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation
%@BEIDOU WANG,Martin Ester,Yikang Liao,Jiajun Bu,Yu Zhu,Deng Cai,Ziyu Guan
%t2016
%cKDD
%f/KDD/KDD-2016-90.pdf

%*Compressing Graphs and Indexes with Recursive Graph Bisection
%@Laxman Dhulipala,Igor Kabiljo,Brian Karrer,Giuseppe Ottaviano,Sergey Pupyrev,Alon Shalita
%t2016
%cKDD
%f/KDD/KDD-2016-91.pdf

%*Portfolio Selections in P2P Lending: A Multi-Objective Perspective
%@Hongke Zhao,Guifeng Wang,Yong Ge,Qi Liu,Enhong Chen
%t2016
%cKDD
%f/KDD/KDD-2016-92.pdf

%*Latent Space Model for Road Networks to Predict Time-Varying Traffic
%@Dingxiong Deng,Cyrus Shahabi,Ugur Demiryurek,Linhong Zhu,Rose Yu,Yan Liu
%t2016
%cKDD
%f/KDD/KDD-2016-93.pdf

%*Parallel Lasso Screening for Big Data Optimization
%@Qingyang Li,Shuang Qiu,Shuiwang Ji,Jieping Ye,Jie Wang
%t2016
%cKDD
%f/KDD/KDD-2016-94.pdf

%*Lossless Separation of Web Pages into Layout Code and Data
%@Adi Omari,Benny Kimelfeld,Sharon Shoham,Eran Yahav
%t2016
%cKDD
%f/KDD/KDD-2016-95.pdf

%*A Multi-Task Learning Formulation for Survival Analysis
%@Yan Li,Jie Wang,Jieping Ye,Chandan Reddy
%t2016
%cKDD
%f/KDD/KDD-2016-96.pdf

%*Scalable Pattern Matching over Compressed Graphs via Dedensification
%@Antonio Maccioni,Daniel Abadi
%t2016
%cKDD
%f/KDD/KDD-2016-97.pdf

%*Finding Gangs in War from Signed Networks
%@Lingyang Chu,Zhefeng Wang,Jian Pei,Jiannan Wang,Zijin Zhao,Enhong Chen
%t2016
%cKDD
%f/KDD/KDD-2016-98.pdf

%*Online Asymmetric Active Learning with Imbalanced Data
%@Xiaoxuan Zhang,Tianbao Yang,Padmini Srinivasan
%t2016
%cKDD
%f/KDD/KDD-2016-99.pdf

%*Robust and Effective Metric Learning Using Capped Trace Norm
%@Zhouyuan Huo,Feiping Nie,Heng Huang
%t2016
%cKDD
%f/KDD/KDD-2016-100.pdf

%*Burstiness Scale: a highly parsimonious model forcharacterizing random series of events
%@Rodrigo Alves,Renato Assunção,Pedro O.S. Vaz de Melo
%t2016
%cKDD
%f/KDD/KDD-2016-101.pdf

%*Fast Component Pursuit for Large-Scale Inverse Covariance Estimation
%@Lei Han,Yu Zhang,Tong Zhang
%t2016
%cKDD
%f/KDD/KDD-2016-102.pdf

%*Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
%@Siddharth Reddy,Igor Labutov,Siddhartha Banerjee,Thorsten Joachims
%t2016
%cKDD
%f/KDD/KDD-2016-103.pdf

%*User Identity Linkage by Latent User Space Modelling
%@Xin Mu,Feida Zhu,Zhi-Hua Zhou,Ee-Peng Lim,Jing Xiao,Jianzong Wang
%t2016
%cKDD
%f/KDD/KDD-2016-104.pdf

%*Diversified Temporal Subgraph Pattern Mining
%@Yi Yang,Da Yan,Huanhuan Wu,James Cheng,Shuigeng Zhou,John C.S. Lui
%t2016
%cKDD
%f/KDD/KDD-2016-105.pdf

%*Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting
%@Liang Zhao,Jieping Ye,Feng Chen,Chang-Tien Lu,Naren Ramakrishnan
%t2016
%cKDD
%f/KDD/KDD-2016-106.pdf

%*MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories
%@Prithu Banerjee,Pranali Yawalkar,Sayan Ranu
%t2016
%cKDD
%f/KDD/KDD-2016-107.pdf

%*FUSE: Full Spectral Clustering
%@Wei Ye,Sebastian Goebl,Claudia Plant,Christian Boehm
%t2016
%cKDD
%f/KDD/KDD-2016-108.pdf

%*Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining
%@Kazuya Nakagawa,Shinya Suzumura,Masayuki Karasuyama,Koji Tsuda,Ichiro Takeuchi
%t2016
%cKDD
%f/KDD/KDD-2016-109.pdf

%*Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics
%@Hao Wu,Jiangyun Mao,Weiwei Sun,Baihua Zheng,Hanyuan Zhang,Ziyang Chen,Wei Wang
%t2016
%cKDD
%f/KDD/KDD-2016-110.pdf

%*A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm
%@Yanni Li,Hui Li,Tihua Duan,Sheng Wang,Zhi Wang,Yang Cheng
%t2016
%cKDD
%f/KDD/KDD-2016-111.pdf

%*A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization
%@Jianhua Yin,Jianyong Wang
%t2016
%cKDD
%f/KDD/KDD-2016-112.pdf

%*Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations
%@Bo Kang,Jefrey Lijffijt,Raul Santos-Rodriguez,Tijl De Bie
%t2016
%cKDD
%f/KDD/KDD-2016-113.pdf

%*Compressing Convolutional Neural Networks in the Frequency Domain
%@Wenlin Chen,James Wilson,Stephen Tyree,Kilian Weinberger,Yixin Chen
%t2016
%cKDD
%f/KDD/KDD-2016-114.pdf

%*Causal Clustering for 1-Factor Measurement Models
%@Erich Kummerfeld,Joseph Ramsey
%t2016
%cKDD
%f/KDD/KDD-2016-115.pdf

%*From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Ap
%@Mengting Wan,Xiangyu Chen,Lance Kaplan,Jiawei Han,Jing Gao,Bo Zhao
%t2016
%cKDD
%f/KDD/KDD-2016-116.pdf

%*Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test
%@Denis Dos Reis,Gustavo Batista,Peter Flach,Stan Matwin
%t2016
%cKDD
%f/KDD/KDD-2016-117.pdf

%*Learning Cumulatively to Become More Knowledgeable
%@Geli Fei,Shuai Wang,Bing Liu
%t2016
%cKDD
%f/KDD/KDD-2016-118.pdf

%*Multi-Task Feature Interaction Learning
%@KAIXIANG LIN,Jianpeng Xu,Shuiwang Ji,Jiayu Zhou
%t2016
%cKDD
%f/KDD/KDD-2016-119.pdf

%*City-Scale Map Creation and Updating using GPS Collections
%@Chen Chen,Cewu Lu,Qixing Huang,Dimitrios Gunopulos,Leonidas Guibas,Qiang Yang
%t2016
%cKDD
%f/KDD/KDD-2016-120.pdf

%*Stochastic Optimization Techniques for Quantification Performance Measures
%@Harikrishna Narasimhan,Shuai Li,Purushottam Kar,Sanjay Chawla,Fabrizio Sebastiani
%t2016
%cKDD
%f/KDD/KDD-2016-121.pdf

%*Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach
%@Houping Xiao,Jing Gao,Qi Li,Fenglong Ma,Lu Su,Yunlong Feng,Aidong Zhang
%t2016
%cKDD
%f/KDD/KDD-2016-122.pdf

%*Transfer Knowledge between Cities
%@Ying Wei,Yu Zheng,Qiang Yang
%t2016
%cKDD
%f/KDD/KDD-2016-123.pdf

%*FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
%@Yuyu Zhang,Mohammad Bahadori,Hang Su,Jimeng Sun
%t2016
%cKDD
%f/KDD/KDD-2016-124.pdf

%*Effcient Processing of Network Proximity Queries via Chebyshev Acceleration
%@Mustafa Coskun,Ananth Grama,Mehmet Koyuturk
%t2016
%cKDD
%f/KDD/KDD-2016-125.pdf

%*Absolute Fused Lasso and Its Application to Genome-Wide Association Studies
%@Tao Yang,Jun Liu,Pinghua Gong,Ruiwen Zhang,Xiaotong Shen,Jieping Ye
%t2016
%cKDD
%f/KDD/KDD-2016-126.pdf

%*Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environm
%@Wei-Lin Chiang,Mu-Chu Lee,Chih-Jen Lin
%t2016
%cKDD
%f/KDD/KDD-2016-127.pdf

%*Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications
%@Chengxi Zang,Peng Cui,Christos Faloutsos
%t2016
%cKDD
%f/KDD/KDD-2016-128.pdf

%*Efficient Shift-Invariant Dictionary Learning
%@Guoqing Zheng,Yiming Yang,Jaime Carbonell
%t2016
%cKDD
%f/KDD/KDD-2016-129.pdf

%*Multi-layer Representation Learning for Medical Concepts
%@Edward Choi,Mohammad Bahadori,Jimeng Sun
%t2016
%cKDD
%f/KDD/KDD-2016-130.pdf

%*Distributing the Stochastic Gradient Sampler for Large-Scale LDA
%@Yuan Yang,Jianfei Chen,Jun Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-132.pdf

%*Lightweight Monitoring of Distributed Streams
%@Daniel Keren,Assaf Schuster,Arnon Lazerson
%t2016
%cKDD
%f/KDD/KDD-2016-133.pdf

%*Accelerated Stochastic Block Coordinate Descent with Optimal Sampling
%@Aston Zhang,Quanquan Gu
%t2016
%cKDD
%f/KDD/KDD-2016-134.pdf

%*Convex Optimization for Linear Query Processing under Approximate Differential Privacy
%@Ganzhao Yuan,Yin Yang,Zhenjie Zhang,Zhifeng Hao
%t2016
%cKDD
%f/KDD/KDD-2016-135.pdf

%*Predicting Socio-Economic Indicators using News Events
%@Sunandan Chakraborty,Ashwin Venkataraman,Srikanth Jagabathula,Lakshminarayanan Subramanian
%t2016
%cKDD
%f/KDD/KDD-2016-136.pdf

%*A Truth Discovery Approach with Theoretical Guarantee
%@Houping Xiao,Jing Gao,Zhaoran Wang,Shiyu Wang,Lu Su,Han Liu
%t2016
%cKDD
%f/KDD/KDD-2016-137.pdf

%*Meta Structure: Computing Relevance in Large Heterogeneous Information Networks
%@Zhipeng Huang,Yudian Zheng,Reynold Cheng,Yizhou Sun,Nikos Mamoulis,Xiang Li
%t2016
%cKDD
%f/KDD/KDD-2016-138.pdf

%*Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay
%@Yu Shi,Myunghwan Kim,Shaunak Chatterjee,Mitul Tiwari,Souvik Ghosh,Romer Rosales
%t2016
%cKDD
%f/KDD/KDD-2016-139.pdf

%*Infinite Ensemble for Image Clustering
%@Hongfu Liu,Ming Shao,Sheng Li,Yun Fu
%t2016
%cKDD
%f/KDD/KDD-2016-140.pdf

%*Deep Visual-Semantic Hashing for Cross-Modal Retrieval
%@Yue Cao,Mingsheng Long,Jianmin Wang,Qiang Yang,Philip Yu
%t2016
%cKDD
%f/KDD/KDD-2016-141.pdf

%*Collaborative Multi-View Denoising
%@Lei Zhang,Shupeng Wang,Xiao-Yu Zhang,Yong Wang,BinBin Li,Dinggang Shen,Shuiwang Ji
%t2016
%cKDD
%f/KDD/KDD-2016-142.pdf

%*Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stocko
%@Ben Letham,Lydia Letham,Cynthia Rudin
%t2016
%cKDD
%f/KDD/KDD-2016-143.pdf

%*Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks
%@Hyuna Pyo,Jung-Woo Ha,Jeonghee Kim
%t2016
%cKDD
%f/KDD/KDD-2016-145.pdf

%*Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs
%@Animesh Nandi,Atri Mandal,Shubham Atreja,Gargi Dasgupta,Subhrajit Bhattacharya
%t2016
%cKDD
%f/KDD/KDD-2016-146.pdf

%*Identifying Earmarks in Congressional Bills
%@Vrushank Vora,Joe Walsh,Madian Khabasa,Ellery Wulczyn,Matthew Heston,Rayid Ghani,Chris Berry
%t2016
%cKDD
%f/KDD/KDD-2016-147.pdf

%*Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries
%@Muhammad Khan,Joshua Blumenstock
%t2016
%cKDD
%f/KDD/KDD-2016-148.pdf

%*EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System
%@Sathappan Muthiah,Naren Ramakrishnan,Patrick Butler,Rupinder Khandpur,PARANG SARAF,Anil Vullikanti,Achla Marathe,Graham Katz,Andrew Doyle,Jaime Arredondo,Dipak Gupta,David Mares,Jose Cadena,Liang Zhao,Nathan Self,Alla Rozovskaya,Kristen Summers
%t2016
%cKDD
%f/KDD/KDD-2016-149.pdf

%*Minimizing Legal Exposure for High-Tech Companies through Collaborative Filtering Methods
%@Bo Jin,Chao Che,Kuifei Yu,Yue Qu,Li Guo,Cuili Yao
%t2016
%cKDD
%f/KDD/KDD-2016-150.pdf

%*Identifying Decision Makers from Professional Social Networks
%@Shipeng Yu,Evangelia Christakopoulou,Abhishek Gupta
%t2016
%cKDD
%f/KDD/KDD-2016-151.pdf

%*Batch model for batched timestamps data analysis with application to the SSA disability program
%@Qingqi Yue,Ao Yuan,Xuan Che,Elizabeth Rasch,Minh Huynh,Chunxiao Zhou
%t2016
%cKDD
%f/KDD/KDD-2016-152.pdf

%*A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines
%@Yijun Zhao,Bilal Ahmed,Carla Brodley,Jennifer Dy
%t2016
%cKDD
%f/KDD/KDD-2016-153.pdf

%*Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features
%@Ying Shan,Thomas Hoens,Jian Jiao,Haijing Wang,Dong Yu,JC Mao
%t2016
%cKDD
%f/KDD/KDD-2016-154.pdf

%*Evaluating Mobile App Release
%@Ya Xu,Nanyu Chen
%t2016
%cKDD
%f/KDD/KDD-2016-155.pdf

%*Designing Policy Recommendations to Reduce Home Abandonment in Mexico
%@Klaus Ackermann,Eduardo Blancas Reyes,Sue He,Thomas Anderson Keller,Paul van der Boor,Romana Khan,Rayid Ghani
%t2016
%cKDD
%f/KDD/KDD-2016-156.pdf

%*Ranking Universities Based on Career Outcomes of Graduates
%@Navneet Kapur (GoFundMe)
%t2016
%cKDD
%f/KDD/KDD-2016-157.pdf

%*Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned
%@Xiaolin Shi,Alex Deng
%t2016
%cKDD
%f/KDD/KDD-2016-158.pdf

%*Predicting Disk Replacement towards Reliable Data Centers
%@Mirela Botezatu,Ioana Giurgiu,Jasmina Bogojeska,Dorothea Wiesmann
%t2016
%cKDD
%f/KDD/KDD-2016-159.pdf

%*Identifying Police Officers at Risk of Adverse Events
%@Samuel Carton,Jennifer Helsby,Kenneth Joseph,Ayesha Mahmud,Youngsoo Park,Joe Walsh,Crystal Cody,Estella Patterson,Lauren Haynes,Rayid Ghani
%t2016
%cKDD
%f/KDD/KDD-2016-160.pdf

%*The Legislative Influence Detector: Finding Text Reuse in State Legislation
%@Matthew Burgess,Eugenia Giraudy,Julian Katz-Samuels,Joe Walsh,Derek Willis,Lauren Haynes,Rayid Ghani
%t2016
%cKDD
%f/KDD/KDD-2016-161.pdf

%*Question Independent Grading using Machine Learning: The Case of Computer Program Grading
%@Gursimran Singh,Shashank Srikant,Varun Aggarwal
%t2016
%cKDD
%f/KDD/KDD-2016-162.pdf

%*Developing a Data-Driven Player Ranking in Soccer using Predictive Model Weights
%@Joel Brooks,Matthew Kerr,John Guttag
%t2016
%cKDD
%f/KDD/KDD-2016-163.pdf

%*Aircraft Trajectory Prediction made easy with Predictive Analytics
%@Samet Ayhan,Hanan Samet
%t2016
%cKDD
%f/KDD/KDD-2016-164.pdf

%*An Engagement-Based Customer Lifetime Value System for E-commerce
%@Ali Vanderveld,Angela Han,Addhyan Pandey,Rajesh Parekh
%t2016
%cKDD
%f/KDD/KDD-2016-165.pdf

%*Email Volume Optimization at LinkedIn
%@Rupesh Gupta,Xiaoyu Chen,Guanfeng Liang,Romer Rosales,Hsiao-Ping Tseng,Ravi Kiran Holur Vijay
%t2016
%cKDD
%f/KDD/KDD-2016-166.pdf

%*Online dual decomposition for performance and delivery-based distributed ad allocation
%@Jim Huang,Rodolphe Jenatton,Cedric Archambeau
%t2016
%cKDD
%f/KDD/KDD-2016-167.pdf

%*An Empirical Study on Recommendation with Multiple Types of Feedback
%@Liang Tang,Bo Long,Bee-Chung Chen,Deepak Agarwal
%t2016
%cKDD
%f/KDD/KDD-2016-168.pdf

%*Recruitment Market Trend Analysis with Sequential Latent Variable Models
%@Chen Zhu,Hengshu Zhu,Hui Xiong,ding pengliang,xie fang
%t2016
%cKDD
%f/KDD/KDD-2016-169.pdf

%*Boosted Decision Tree Regression Adjustment for Variance Reduction of Online Controlled Experiments
%@Alexey Poyarkov,Alexey Drutsa,Andrey Khalyavin,Gleb Gusev,Pavel Serdyukov
%t2016
%cKDD
%f/KDD/KDD-2016-170.pdf

%*Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records
%@Bowen Du,Chuanren Liu,Wenjun Zhou,Hui Xiong
%t2016
%cKDD
%f/KDD/KDD-2016-171.pdf

%*Days on Market: Measuring Liquidity in Real Estate Markets
%@Hengshu Zhu,Hui Xiong,Fangshuang Tang,Yong Ge,Qi Liu,Enhong Chen,Yanjie Fu
%t2016
%cKDD
%f/KDD/KDD-2016-172.pdf

%*Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach
%@Mahsa Salehi,Laura Rusu,Timothy Lynar,Anna Phan
%t2016
%cKDD
%f/KDD/KDD-2016-173.pdf

%*GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction
%@XianXing Zhang,Bee-Chung Chen,Liang Zhang,Yitong Zhou,Yiming Ma,Deepak Agarwal
%t2016
%cKDD
%f/KDD/KDD-2016-174.pdf

%*From Online Behaviors to Offline Retailing
%@Ping Luo
%t2016
%cKDD
%f/KDD/KDD-2016-175.pdf

%*Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta
%@Michael Madaio,Shang-Tse Chen,Oliver Haimson,Wenwen Zhang,Xiang Cheng,Matthew Hinds-Aldrich,Duen Horng Chau,Bistra Dilkina
%t2016
%cKDD
%f/KDD/KDD-2016-176.pdf

%*Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media Platfo
%@Alexander Nikolaev,Shounak Gore,Venu Govindaraju
%t2016
%cKDD
%f/KDD/KDD-2016-177.pdf

%*Audience Expansion for Online Social Network Advertising
%@Haishan Liu,David Pardoe,Kun Liu
%t2016
%cKDD
%f/KDD/KDD-2016-178.pdf

%*DopeLearning: A Computational Approach to Rap Lyrics Generation
%@Eric Malmi,Pyry Takala,Hannu Toivonen,Tapani Raiko,Aristides Gionis
%t2016
%cKDD
%f/KDD/KDD-2016-179.pdf

%*Ranking Relevance in Yahoo Search
%@Dawei Yin,Yuening Hu,Jiliang Tang,Tim Daly,Mianwei Zhou,Hua Ouyang,Jianhui Chen,Changsung Kang,Hongbo Deng,Chikashi Nobata,Jean-Marc Langlois,Yi Chang
%t2016
%cKDD
%f/KDD/KDD-2016-180.pdf

%*Contextual Intent Tracking for Personal Assistants
%@Yu Sun,Nicholas Jing Yuan,Yingzi Wang,Xing Xie,Kieran McDonald,Rui Zhang
%t2016
%cKDD
%f/KDD/KDD-2016-181.pdf

%*Matrix Computations and Optimization in Apache Spark
%@Reza Zadeh,Xiangrui Meng,Alexander Ulanov,Burak Yavuz,Li Pu,Shivaram Venkataraman,Evan Sparks,Aaron Staple,Matei Zaharia
%t2016
%cKDD
%f/KDD/KDD-2016-182.pdf

%*Repeat Buyer Prediction for E-Commerce
%@Guimei Liu,Tam T. Nguyen,Gang Zhao,Wei Zha,Jianbo Yang,Jianneng Cao,Min Wu,Peilin Zhao,Wei Chen
%t2016
%cKDD
%f/KDD/KDD-2016-183.pdf

%*Collaborative Knowledge Base Embedding for Recommender Systems
%@Fuzheng Zhang,Nicholas Jing Yuan,Defu Lian,Xing Xie,Wei-Ying Ma
%t2016
%cKDD
%f/KDD/KDD-2016-184.pdf

%*Convolutional Neural Networks for Steady Flow Approximation
%@Xiaoxiao Guo,Wei Li,Francesco Iorio
%t2016
%cKDD
%f/KDD/KDD-2016-186.pdf

%*EMBERS AutoGSR: Automated Coding of Civil Unrest Events
%@PARANG SARAF,Naren Ramakrishnan
%t2016
%cKDD
%f/KDD/KDD-2016-187.pdf

%*Crime Rate Inference with Big Data
%@Hongjian Wang,Zhenhui Li,Daniel Kifer,Corina Graif
%t2016
%cKDD
%f/KDD/KDD-2016-188.pdf

%*Gemello: Creating a Detailed Energy Breakdown from just the Monthly Electricity Bill
%@Nipun Batra,Amarjeet Singh,Kamin Whitehouse
%t2016
%cKDD
%f/KDD/KDD-2016-189.pdf

%*When Recommendation Goes Wrong - Anomalous Link Discovery in Recommendation Networks
%@Bryan Perozzi
%t2016
%cKDD
%f/KDD/KDD-2016-190.pdf

%*Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix
%@Huizhi Xie,Juliette Aurisset
%t2016
%cKDD
%f/KDD/KDD-2016-191.pdf

%*Talent Circle Detection in Job Transition Networks
%@Huang Xu,Jingyuan Yang,zhi wen Yu,Hui Xiong,Hengshu Zhu
%t2016
%cKDD
%f/KDD/KDD-2016-192.pdf

%*Deploying Analytics with the Portable Format for Analytics (PFA)
%@Jim Pivarski,Collin Bennett,Robert Grossman
%t2016
%cKDD
%f/KDD/KDD-2016-193.pdf

%*Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis
%@Xiang Li,Milad Makkie,Binbin Lin,Mojtaba Sedigh Fazli,Ian Davidson,Jieping Ye,Tianming Liu,Shannon Quinn
%t2016
%cKDD
%f/KDD/KDD-2016-194.pdf

%*The Profile of an Online Purchaser: A Case Study of Pinterest
%@Caroline Lo,Dan Frankowski,Jure Leskovec
%t2016
%cKDD
%f/KDD/KDD-2016-195.pdf

%*Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to R
%@Corey Lynch,Kamelia Aryafar,Josh Attenberg
%t2016
%cKDD
%f/KDD/KDD-2016-196.pdf

%*Crystal:Employer Name Normalization in the Online Recruitment Industry
%@Qiaoling Liu,Faizan Javed,Matt McNair
%t2016
%cKDD
%f/KDD/KDD-2016-197.pdf

%*MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach
%@Bo An,Haipeng Chen,Noseong Park,V.S. Subrahmanian
%t2016
%cKDD
%f/KDD/KDD-2016-198.pdf

%*Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques
%@Jan Van Haaren,Horesh Ben Shitrit,Jesse Davis,Pascal Fua
%t2016
%cKDD
%f/KDD/KDD-2016-199.pdf

%*Joint Optimization of Multiple Performance Metrics in Online Video Advertising
%@Sahin Geyik,Sergey Faleev,Jianqiang Shen,Sean O'Donnell,Santanu Kolay
%t2016
%cKDD
%f/KDD/KDD-2016-200.pdf

%*Singapore in Motion: insights on public transport service level through farecard and mobile data ana
%@Hasan Poonawala,Vinay Kolar,Sebastien Blandin,Laura Wynter,Sambit Sahu
%t2016
%cKDD
%f/KDD/KDD-2016-201.pdf

%*Detecting Devastating Diseases in Search Logs
%@John Paparrizos,Ryen White,Eric Horvitz
%t2016
%cKDD
%f/KDD/KDD-2016-202.pdf

%*How to Get Them a Dream Job?
%@Jia Li,Dhruv Arya,Viet Ha-Thuc,Shakti Sinha
%t2016
%cKDD
%f/KDD/KDD-2016-203.pdf

%*Text Mining in Clinical Domain: Dealing with Noise.
%@Hoang Nguyen,Jon Patrick
%t2016
%cKDD
%f/KDD/KDD-2016-204.pdf

%*Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering
%@Steven H. H. Ding,Benjamin C. M. Fung,Philippe Charland
%t2016
%cKDD
%f/KDD/KDD-2016-205.pdf

%*CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents
%@Fedor Borisyuk,Krishnaram Kenthapadi,David Stein,Bo Zhao
%t2016
%cKDD
%f/KDD/KDD-2016-206.pdf

%*Compute Job Memory Recommender System Using Machine Learning
%@Taraneh Taghavi,Maria Lupetini,Yaron Kretchmer
%t2016
%cKDD
%f/KDD/KDD-2016-207.pdf

%*Domain adaptation in the absence of source domain data
%@Boris Chidlovskii,Stephane Clinchant,Gabriela Csurka
%t2016
%cKDD
%f/KDD/KDD-2016-208.pdf

%*Computational Drug Repositioning Using Continuous Self-controlled Case Series
%@Zhaobin Kuang,James Thomson,Michael Caldwell,Peggy Peissig,Ron Stewart,Page David
%t2016
%cKDD
%f/KDD/KDD-2016-209.pdf

%*Scalable Time-Decaying Adaptive Prediction Algorithm
%@Yinyan Tan,Zhe Fan,Guilin Li,Fangshan Wang,Zhengbing Li,Shikai Liu,Qiuling Pan,Eric Xing,Qirong Ho
%t2016
%cKDD
%f/KDD/KDD-2016-210.pdf

%*Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising
%@Weinan Zhang,Tianxiong Zhou,Jun Wang,Jian Xu
%t2016
%cKDD
%f/KDD/KDD-2016-211.pdf