| 2016 | "Why Should I Trust You?": Explaining the Predictions of Any Classifier. Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin |
| 2016 | A Multi-Task Learning Formulation for Survival Analysis. Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy |
| 2016 | A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests. Geoffrey I. Webb, François Petitjean |
| 2016 | A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky |
| 2016 | A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm. Yanni Li, Hui Li, Tihua Duan, Sheng Wang, Zhi Wang, Yang Cheng |
| 2016 | A Subsequence Interleaving Model for Sequential Pattern Mining. Jaroslav M. Fowkes, Charles Sutton |
| 2016 | A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization. Jianhua Yin, Jianyong Wang |
| 2016 | A Truth Discovery Approach with Theoretical Guarantee. Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu |
| 2016 | A VC View of Investing in ML. Greg Papadopoulos |
| 2016 | ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages. Matteo Riondato, Eli Upfal |
| 2016 | Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye |
| 2016 | Accelerated Stochastic Block Coordinate Descent with Optimal Sampling. Aston Zhang, Quanquan Gu |
| 2016 | Accelerating Online CP Decompositions for Higher Order Tensors. Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson |
| 2016 | Accelerating the Race to Autonomous Cars. Danny Shapiro |
| 2016 | Aircraft Trajectory Prediction Made Easy with Predictive Analytics. Samet Ayhan, Hanan Samet |
| 2016 | Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining. Sara Hajian, Francesco Bonchi, Carlos Castillo |
| 2016 | An Empirical Study on Recommendation with Multiple Types of Feedback. Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal |
| 2016 | An Engagement-Based Customer Lifetime Value System for E-commerce. Ali Vanderveld, Addhyan Pandey, Angela Han, Rajesh Parekh |
| 2016 | Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua |
| 2016 | Annealed Sparsity via Adaptive and Dynamic Shrinking. Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye |
| 2016 | Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs. Animesh Nandi, Atri Mandal, Shubham Atreja, Gargi Banerjee Dasgupta, Subhrajit Bhattacharya |
| 2016 | AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets. Son T. Mai, Ira Assent, Martin Storgaard |
| 2016 | Approximate Personalized PageRank on Dynamic Graphs. Hongyang Zhang, Peter Lofgren, Ashish Goel |
| 2016 | Assessing Human Error Against a Benchmark of Perfection. Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan |
| 2016 | Asymmetric Transitivity Preserving Graph Embedding. Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu |
| 2016 | Audience Expansion for Online Social Network Advertising. Haishan Liu, David Pardoe, Kun Liu, Manoj Thakur, Frank Cao, Chongzhe Li |
| 2016 | Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program. Qingqi Yue, Ao Yuan, Xuan Che, Minh Huynh, Chunxiao Zhou |
| 2016 | Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts. Benjamin Letham, Lydia M. Letham, Cynthia Rudin |
| 2016 | Bayesian Optimization and Embedded Learning Systems. Jeff Schneider |
| 2016 | Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. Chengxi Zang, Peng Cui, Christos Faloutsos |
| 2016 | Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu |
| 2016 | Big Data Needs Big Dreamers: Lessons from Successful Big Data Investors. Evangelos Simoudis, Mark Gorenberg, Tim Guleri, Matt Ocko, Greg Sands |
| 2016 | Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments. Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov |
| 2016 | Burstiness Scale: A Parsimonious Model for Characterizing Random Series of Events. Rodrigo Augusto da Silva Alves, Renato Martins Assunção, Pedro Olmo Stancioli Vaz de Melo |
| 2016 | Business Applications of Predictive Modeling at Scale. Qiang Zhu, Songtao Guo, Paul Ogilvie, Yan Liu |
| 2016 | CNTK: Microsoft's Open-Source Deep-Learning Toolkit. Frank Seide, Amit Agarwal |
| 2016 | CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents. Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao |
| 2016 | Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for Breakfast. Jonathan D. Becher |
| 2016 | Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong |
| 2016 | CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. Meng Jiang, Christos Faloutsos, Jiawei Han |
| 2016 | Causal Clustering for 1-Factor Measurement Models. Erich Kummerfeld, Joseph D. Ramsey |
| 2016 | City-Scale Map Creation and Updating using GPS Collections. Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas |
| 2016 | Collaborative Knowledge Base Embedding for Recommender Systems. Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma |
| 2016 | Collaborative Multi-View Denoising. Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji |
| 2016 | Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and Predicting Real-world Events. Yuheng Hu, Yu-Ru Lin, Jiebo Luo |
| 2016 | Come-and-Go Patterns of Group Evolution: A Dynamic Model. Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang |
| 2016 | Communication Efficient Distributed Kernel Principal Component Analysis. Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie |
| 2016 | Compact and Scalable Graph Neighborhood Sketching. Takuya Akiba, Yosuke Yano |
| 2016 | CompanyDepot: Employer Name Normalization in the Online Recruitment Industry. Qiaoling Liu, Faizan Javed, Matt McNair |
| 2016 | Compressing Convolutional Neural Networks in the Frequency Domain. Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2016 | Compressing Graphs and Indexes with Recursive Graph Bisection. Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita |
| 2016 | Computational Drug Repositioning Using Continuous Self-Controlled Case Series. Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page |
| 2016 | Computational Social Science: Exciting Progress and Future Challenges. Duncan J. Watts |
| 2016 | Compute Job Memory Recommender System Using Machine Learning. Taraneh Taghavi, Maria Lupetini, Yaron Kretchmer |
| 2016 | Contextual Intent Tracking for Personal Assistants. Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang |
| 2016 | Continuous Experience-aware Language Model. Subhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum |
| 2016 | Convex Optimization for Linear Query Processing under Approximate Differential Privacy. Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao |
| 2016 | Convolutional Neural Networks for Steady Flow Approximation. Xiaoxiao Guo, Wei Li, Francesco Iorio |
| 2016 | Crime Rate Inference with Big Data. Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li |
| 2016 | Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned. Alex Deng, Xiaolin Shi |
| 2016 | Data-driven Automatic Treatment Regimen Development and Recommendation. Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie |
| 2016 | Days on Market: Measuring Liquidity in Real Estate Markets. Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu |
| 2016 | Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features. Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao |
| 2016 | Deep Visual-Semantic Hashing for Cross-Modal Retrieval. Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu |
| 2016 | DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2016 | Deploying Analytics with the Portable Format for Analytics (PFA). Jim Pivarski, Collin Bennett, Robert L. Grossman |
| 2016 | 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, José Carlos González |
| 2016 | Detecting Devastating Diseases in Search Logs. John Paparrizos, Ryen W. White, Eric Horvitz |
| 2016 | Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights. Joel Brooks, Matthew Kerr, John V. Guttag |
| 2016 | Distributing the Stochastic Gradient Sampler for Large-Scale LDA. Yuan Yang, Jianfei Chen, Jun Zhu |
| 2016 | Diversified Temporal Subgraph Pattern Mining. Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui |
| 2016 | Domain Adaptation in the Absence of Source Domain Data. Boris Chidlovskii, Stéphane Clinchant, Gabriela Csurka |
| 2016 | DopeLearning: A Computational Approach to Rap Lyrics Generation. Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis |
| 2016 | Dynamic Clustering of Streaming Short Documents. Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas |
| 2016 | Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan |
| 2016 | Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay. Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales |
| 2016 | EMBERS AutoGSR: Automated Coding of Civil Unrest Events. Parang Saraf, Naren Ramakrishnan |
| 2016 | EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan |
| 2016 | Efficient Frequent Directions Algorithm for Sparse Matrices. Mina Ghashami, Edo Liberty, Jeff M. Phillips |
| 2016 | Efficient Processing of Network Proximity Queries via Chebyshev Acceleration. Mustafa Coskun, Ananth Grama, Mehmet Koyutürk |
| 2016 | Efficient Shift-Invariant Dictionary Learning. Guoqing Zheng, Yiming Yang, Jaime G. Carbonell |
| 2016 | Email Volume Optimization at LinkedIn. Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales |
| 2016 | Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media Platforms. Alexander G. Nikolaev, Shounak Gore, Venu Govindaraju |
| 2016 | Evaluating Mobile Apps with A/B and Quasi A/B Tests. Ya Xu, Nanyu Chen |
| 2016 | Extracting Optimal Performance from Dynamic Time Warping. Abdullah Mueen, Eamonn J. Keogh |
| 2016 | Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. Himanshu Jain, Yashoteja Prabhu, Manik Varma |
| 2016 | FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He |
| 2016 | FINAL: Fast Attributed Network Alignment. Si Zhang, Hanghang Tong |
| 2016 | FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun |
| 2016 | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos |
| 2016 | FUSE: Full Spectral Clustering. Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm |
| 2016 | Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. Lei Han, Yu Zhang, Tong Zhang |
| 2016 | Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu |
| 2016 | Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista |
| 2016 | Finding Gangs in War from Signed Networks. Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen |
| 2016 | Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina |
| 2016 | From Online Behaviors to Offline Retailing. Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He |
| 2016 | From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation. Yanan Bao, Huasen Wu, Xin Liu |
| 2016 | From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao |
| 2016 | GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal |
| 2016 | GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media. Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han |
| 2016 | Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill. Nipun Batra, Amarjeet Singh, Kamin Whitehouse |
| 2016 | Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang |
| 2016 | Goal-Directed Inductive Matrix Completion. Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon |
| 2016 | Graph Wavelets via Sparse Cuts. Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami |
| 2016 | Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks. Jennifer T. Chayes |
| 2016 | Healthcare Data Mining with Matrix Models. Fei Wang, Ping Zhang, Joel Dudley |
| 2016 | Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | How Machine Learning has Finally Solved Wanamaker's Dilemma. Oliver Downs |
| 2016 | How to Compete Online for News Audience: Modeling Words that Attract Clicks. Joon Hee Kim, Amin Mantrach, Alejandro Jaimes, Alice Oh |
| 2016 | How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking. Jia Li, Dhruv Arya, Viet Ha-Thuc, Shakti Sinha |
| 2016 | Identifying Decision Makers from Professional Social Networks. Shipeng Yu, Evangelia Christakopoulou, Abhishek Gupta |
| 2016 | Identifying Earmarks in Congressional Bills. Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani |
| 2016 | Identifying Police Officers at Risk of Adverse Events. Samuel Carton, Jennifer Helsby, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Crystal Cody, C. P. T. Estella Patterson, Lauren Haynes, Rayid Ghani |
| 2016 | Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. Corey Lynch, Kamelia Aryafar, Josh Attenberg |
| 2016 | Improving Survey Aggregation with Sparsely Represented Signals. Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda |
| 2016 | Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix. Huizhi Xie, Juliette Aurisset |
| 2016 | Inferring Network Effects from Observational Data. David T. Arbour, Dan Garant, David D. Jensen |
| 2016 | Infinite Ensemble for Image Clustering. Hongfu Liu, Ming Shao, Sheng Li, Yun Fu |
| 2016 | Interpretable Decision Sets: A Joint Framework for Description and Prediction. Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec |
| 2016 | IoT Big Data Stream Mining. Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan |
| 2016 | Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu |
| 2016 | Joint Optimization of Multiple Performance Metrics in Online Video Advertising. Sahin Cem Geyik, Sergey Faleev, Jianqiang Shen, Sean O'Donnell, Santanu Kolay |
| 2016 | Just One More: Modeling Binge Watching Behavior. William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson |
| 2016 | Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering. Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland |
| 2016 | Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2016 | Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han |
| 2016 | Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks. JungWoo Ha, Hyuna Pyo, Jeonghee Kim |
| 2016 | Large-Scale Machine Learning at Verizon: Theory and Applications. Ashok Srivastava |
| 2016 | Latent Space Model for Road Networks to Predict Time-Varying Traffic. Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu |
| 2016 | Learning Cumulatively to Become More Knowledgeable. Geli Fei, Shuai Wang, Bing Liu |
| 2016 | Learning Sparse Models at Scale. Ralf Herbrich |
| 2016 | Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and Compositionality. Nando de Freitas |
| 2016 | Leveraging Propagation for Data Mining: Models, Algorithms and Applications. B. Aditya Prakash, Naren Ramakrishnan |
| 2016 | Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data. Payam Siyari, Bistra Dilkina, Constantine Dovrolis |
| 2016 | Lifelong Machine Learning and Computer Reading the Web. Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu |
| 2016 | Lightweight Monitoring of Distributed Streams. Arnon Lazerson, Daniel Keren, Assaf Schuster |
| 2016 | Lossless Separation of Web Pages into Layout Code and Data. Adi Omari, Benny Kimelfeld, Eran Yahav, Sharon Shoham |
| 2016 | MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories. Prithu Banerjee, Pranali Yawalkar, Sayan Ranu |
| 2016 | MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |
| 2016 | Matrix Computations and Optimization in Apache Spark. Reza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan Randall Sparks, Aaron Staple, Matei Zaharia |
| 2016 | Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li |
| 2016 | Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang |
| 2016 | Mining Reliable Information from Passively and Actively Crowdsourced Data. Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han |
| 2016 | Mining Subgroups with Exceptional Transition Behavior. Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier |
| 2016 | Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan |
| 2016 | Multi-Task Feature Interaction Learning. Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou |
| 2016 | Multi-layer Representation Learning for Medical Concepts. Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun |
| 2016 | NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
| 2016 | Online Asymmetric Active Learning with Imbalanced Data. Xiaoxuan Zhang, Tianbao Yang, Padmini Srinivasan |
| 2016 | Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit. Chunqiu Zeng, Qing Wang, Shekoofeh Mokhtari, Tao Li |
| 2016 | Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation. Jim C. Huang, Rodolphe Jenatton, Cédric Archambeau |
| 2016 | Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu |
| 2016 | Online Optimization Methods for the Quantification Problem. Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani |
| 2016 | Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising. Miguel Angel Alcobendas Lisbona, Sheide Chammas, Kuang-Chih Lee |
| 2016 | Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design. Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer |
| 2016 | Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou |
| 2016 | PTE: Enumerating Trillion Triangles On Distributed Systems. Ha-Myung Park, Sung-Hyon Myaeng, U Kang |
| 2016 | Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin |
| 2016 | Parallel Lasso Screening for Big Data Optimization. Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang |
| 2016 | Partial Label Learning via Feature-Aware Disambiguation. Min-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu |
| 2016 | People, Computers, and The Hot Mess of Real Data. Joseph M. Hellerstein |
| 2016 | Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu |
| 2016 | Portfolio Selections in P2P Lending: A Multi-Objective Perspective. Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen |
| 2016 | Positive-Unlabeled Learning in Streaming Networks. Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang |
| 2016 | Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. Zhi Nie, Pinghua Gong, Jieping Ye |
| 2016 | Predicting Disk Replacement towards Reliable Data Centers. Mirela Madalina Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiesmann |
| 2016 | Predicting Matchups and Preferences in Context. Shuo Chen, Thorsten Joachims |
| 2016 | Predicting Socio-Economic Indicators using News Events. Sunandan Chakraborty, Ashwin Venkataraman, Srikanth Jagabathula, Lakshminarayanan Subramanian |
| 2016 | Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries. Muhammad Raza Khan, Joshua E. Blumenstock |
| 2016 | Privacy-preserving Class Ratio Estimation. Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2016 | Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics. Hao Wu, Jiangyun Mao, Weiwei Sun, Baihua Zheng, Hanyuan Zhang, Ziyang Chen, Wei Wang |
| 2016 | Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 Balaji Krishnapuram, Mohak Shah, Alexander J. Smola, Charu C. Aggarwal, Dou Shen, Rajeev Rastogi |
| 2016 | Profiling Users from Online Social Behaviors with Applications for Tencent Social Ads. Ching Law |
| 2016 | QUINT: On Query-Specific Optimal Networks. Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong |
| 2016 | Question Independent Grading using Machine Learning: The Case of Computer Program Grading. Gursimran Singh, Shashank Srikant, Varun Aggarwal |
| 2016 | Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang |
| 2016 | Ranking Relevance in Yahoo Search. Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang |
| 2016 | Ranking Universities Based on Career Outcomes of Graduates. Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic |
| 2016 | Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization. Junming Liu, Leilei Sun, Weiwei Chen, Hui Xiong |
| 2016 | Reconstructing an Epidemic Over Time. Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken |
| 2016 | Recruitment Market Trend Analysis with Sequential Latent Variable Models. Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie |
| 2016 | Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song |
| 2016 | Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences. Yasuko Matsubara, Yasushi Sakurai |
| 2016 | 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 |
| 2016 | Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan |
| 2016 | Robust Extreme Multi-label Learning. Chang Xu, Dacheng Tao, Chao Xu |
| 2016 | Robust Influence Maximization. Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou |
| 2016 | Robust Influence Maximization. Xinran He, David Kempe |
| 2016 | Robust Large-Scale Machine Learning in the Cloud. Steffen Rendle, Dennis Fetterly, Eugene J. Shekita, Bor-Yiing Su |
| 2016 | Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. Zhouyuan Huo, Feiping Nie, Heng Huang |
| 2016 | Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi |
| 2016 | Sampling of Attributed Networks from Hierarchical Generative Models. Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville |
| 2016 | Scalable Betweenness Centrality Maximization via Sampling. Ahmad Mahmoody, Charalampos E. Tsourakakis, Eli Upfal |
| 2016 | Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters. John Mark Agosta, Debraj GuhaThakurta, Robert Horton, Mario Inchiosa, Srini Kumar, Mengyue Zhao |
| 2016 | 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 |
| 2016 | Scalable Learning of Graphical Models. François Petitjean, Geoffrey I. Webb |
| 2016 | Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices. Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi |
| 2016 | Scalable Pattern Matching over Compressed Graphs via Dedensification. Antonio Maccioni, Daniel J. Abadi |
| 2016 | Scalable Time-Decaying Adaptive Prediction Algorithm. Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho |
| 2016 | Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza |
| 2016 | Singapore in Motion: Insights on Public Transport Service Level Through Farecard and Mobile Data Analytics. Hasan Poonawala, Vinay Kolar, Sebastien Blandin, Laura Wynter, Sambit Sahu |
| 2016 | Skinny-dip: Clustering in a Sea of Noise. Samuel Maurus, Claudia Plant |
| 2016 | Smart Broadcasting: Do You Want to be Seen? Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez |
| 2016 | 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 |
| 2016 | Squish: Near-Optimal Compression for Archival of Relational Datasets. Yihan Gao, Aditya G. Parameswaran |
| 2016 | Streaming Analytics. Ashish Gupta, Neera Agarwal |
| 2016 | Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini |
| 2016 | Structural Deep Network Embedding. Daixin Wang, Peng Cui, Wenwu Zhu |
| 2016 | Structural Neighborhood Based Classification of Nodes in a Network. Sharad Nandanwar, M. Narasimha Murty |
| 2016 | Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. Xiaoqian Wang, Feiping Nie, Heng Huang |
| 2016 | Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie |
| 2016 | TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size. Lorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal |
| 2016 | Talent Circle Detection in Job Transition Networks. Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu |
| 2016 | Targeted Topic Modeling for Focused Analysis. Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery |
| 2016 | Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong |
| 2016 | Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection. Hao Hu, Joey Velez-Ginorio, Guo-Jun Qi |
| 2016 | Text Mining in Clinical Domain: Dealing with Noise. Hoang Nguyen, Jon D. Patrick |
| 2016 | The Evolving Meaning of Information Security. Whitfield Diffie |
| 2016 | 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 |
| 2016 | The Limits of Popularity-Based Recommendations, and the Role of Social Ties. Marco Bressan, Stefano Leucci, Alessandro Panconesi, Prabhakar Raghavan, Erisa Terolli |
| 2016 | The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
| 2016 | The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science Workflows. Ingo Mierswa |
| 2016 | Topic Modeling of Short Texts: A Pseudo-Document View. Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong |
| 2016 | 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 |
| 2016 | Towards Conversational Recommender Systems. Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann |
| 2016 | Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. Daniel Ting |
| 2016 | Towards Robust and Versatile Causal Discovery for Business Applications. Giorgos Borboudakis, Ioannis Tsamardinos |
| 2016 | Transfer Knowledge between Cities. Ying Wei, Yu Zheng, Qiang Yang |
| 2016 | Unbounded Human Learning: Optimal Scheduling for Spaced Repetition. Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims |
| 2016 | Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest. Caroline Lo, Dan Frankowski, Jure Leskovec |
| 2016 | Unified Point-of-Interest Recommendation with Temporal Interval Assessment. Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong |
| 2016 | User Identity Linkage by Latent User Space Modelling. Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou |
| 2016 | When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks. Bryan Perozzi, Michael Schueppert, Jack Saalweachter, Mayur Thakur |
| 2016 | 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 |
| 2016 | XGBoost: A Scalable Tree Boosting System. Tianqi Chen, Carlos Guestrin |
| 2016 | node2vec: Scalable Feature Learning for Networks. Aditya Grover, Jure Leskovec |