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Author
Index
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Abdulhayoglu,
Melih, Comodo Security
Solutions, Inc.
HinDroid:
An Intelligent Android Malware Detection System Based on Structured Heterogeneous
Information Network
(Page 1507)
Abernethy,
Jacob, University of Michigan
A
Data Science Approach to Understanding Residential Water Contamination
in Flint (Page 1407)
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to Top) |
Acuna-Agost,
Rodrigo, Amadeus SAS
Deep
Choice Model Using Pointer Networks for Airline Itinerary Prediction
(Page 1575)
Adamson,
David, Turnitin
Formative
Essay Feedback Using Predictive Scoring Models
(Page 2071)
Afroz,
Sadia, ICSI
Backpage
and Bitcoin: Uncovering Human Traffickers
(Page 1595)
Agarwal,
Aman, Cornell University
Effective
Evaluation Using Logged Bandit Feedback from Multiple Loggers
(Page 687)
Agarwal,
Deepak, LinkedIn
The
Future of Artificially Intelligent Assistants
(Page 33)
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Aggarwal,
Charu, IBM T. J. Watson
Research Center
Human
Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes
Processes (Page
495)
Randomized
Feature Engineering as a Fast and Accurate Alternative to Kernel Methods
(Page 485)
REMIX:
Automated Exploration for Interactive Outlier Detection
(Page 827)
Similarity
Forests (Page 395)
Stock
Price Prediction via Discovering Multi-Frequency Trading Patterns
(Page 2141)
Unsupervised
P2P Rental Recommendations via Integer Programming
(Page 165)
Agrawal,
Saurabh, University of
Minnesota
Tripoles:
A New Class of Relationships in Time Series Data
(Page 697)
Ahmed,
Amr, Google Research
A
Practical Algorithm for Solving the Incoherence Problem of Topic Models
In Industrial Applications
(Page 1713)
Airoldi,
Edoardo M., Harvard University
Detecting
Network Effects: Randomizing Over Randomized Experiments
(Page 1027)
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Ajilore,
Olu, University of Illinoisat
Chicago
DeepMood:
Modeling Mobile Phone Typing Dynamics for Mood Detection
(Page 747)
Akoglu,
Leman, Carnegie Mellon
University
RUSH!
Targeted Time-limited Coupons via Purchase Forecasts
(Page 1923)
Alabi,
Daniel, Harvard University
Learning
Certifiably Optimal Rule Lists
(Page 35)
Albert,
Adrian, Massachusetts
Institute of Technology
Using
Convolutional Networks and Satellite Imagery to Identify Patterns in Urban
Environments at a Large Scale
(Page 1357)
Alcorn,
Scott, Early Warnings
LLC.
A
Local Algorithm for Structure-Preserving Graph Cut
(Page 655)
Alizadeh,
Keivan, Sharif University
of Technology
Recurrent
Poisson Factorization for Temporal Recommendation
(Page 847)
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to Top) |
Alle,
Sachidanand, Yahoo
A
Practical Exploration System for Search Advertising
(Page 1625)
Alp,
Enis Ceyhun, comScore
& University of Wisconsin
Internet
Device Graphs (Page
1913)
Anchuri,
Pranay, NEC Laboratories
America
Structural
Event Detection from Log Messages
(Page 1175)
Anderson,
Blake, Cisco Systems,
Inc.
Machine
Learning for Encrypted Malware Traffic Classification: Accounting for
Noisy Labels and Non-Stationarity
(Page 1723)
Ang,
Lynn, University of Michigan
Contextual
Motifs: Increasing the Utility of Motifs using Contextual Data
(Page 155)
Angelino,
Elaine, University of
California, Berkeley
Learning
Certifiably Optimal Rule Lists
(Page 35)
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Antikacioglu,
Arda, Carnegie Mellon
University
Post
Processing Recommender Systems for Diversity
(Page 707)
Aoki,
Raquel Y S, Universidade
Federal de Minas Gerais
Luck
is Hard to Beat: The Difficulty of Sports Prediction
(Page 1367)
Arabzadeh,
Ali, Sharif University
of Technology
Recurrent
Poisson Factorization for Temporal Recommendation
(Page 847)
Arimura,
Hiroki, Hokkaido University
Statistical
Emerging Pattern Mining with Multiple Testing Correction
(Page 897)
Ariño
de la Rubia, Eduardo, Domino
Data Lab
Benchmarks
and Process Management in Data Science: Will We Ever Get Over the Mess?
(Page 31)
More
than the Sum of its Parts: Building Domino Data Lab
(Page 9)
Arslan,
Fatma, University of Texas
at Arlington
Toward
Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster
(Page 1803)
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Asaoka,
Ryo, The University of
Tokyo
Multi-view
Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous
Eyes (Page 2041)
Assuncao,
Renato M., Universidade
Federal de Minas Gerais
Luck
is Hard to Beat: The Difficulty of Sports Prediction
(Page 1367)
Atluri,
Gowtham, University of
Cincinnati
Tripoles:
A New Class of Relationships in Time Series Data
(Page 697)
Avin,
Chen, Ben Gurion University
of the Negev
Improved
Degree Bounds and Full Spectrum Power Laws in Preferential Attachment
Networks (Page 45)
Badeau,
Garrett, Adap.tv
Ad
Serving with Multiple KPIs
(Page 1853)
Bahadori,
Mohammad Taha, Georgia
Institute of Technology
GRAM:
Graph-based Attention Model for Healthcare Representation Learning
(Page 787)
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Bai,
Lanxiao, University of
Illinois, Urbana Champaign
Bridging
Collaborative Filtering and Semi-Supervised Learning: A Neural Approach
for POI Recommendation
(Page 1245)
Bai,
Zilong, University of
California, Davis
Unsupervised
Network Discovery for Brain Imaging Data
(Page 55)
Bao,
Dewei, Huawei Nanjing
Research and Development Center
FLAP:
An End-to-End Event Log Analysis Platform for System Management
(Page 1547)
Bao,
Jie, Microsoft Research
Planning
Bike Lanes based on Sharing-Bikes' Trajectories
(Page 1377)
Baral,
Ramesh, Florida International
University
STAR:
A System for Ticket Analysis and Resolution
(Page 2181)
Barford,
Paul, comScore & University
of Wisconsin
Internet
Device Graphs (Page
1913)
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Basu,
Soumya, Cornell University
Effective
Evaluation Using Logged Bandit Feedback from Multiple Loggers
(Page 687)
Bauman,
Konstantin, New York University
Aspect
Based Recommendations: Recommending Items with the Most Valuable Aspects
Based on User Reviews
(Page 717)
Baylor,
Denis, Google Inc.
TFX:
A TensorFlow-Based Production-Scale Machine Learning Platform
(Page 1387)
Baytas,
Inci M., Michigan State
University
Patient
Subtyping via Time-Aware LSTM Networks
(Page 65)
Privacy-Preserving
Distributed Multi-Task Learning with Asynchronous Updates
(Page 1195)
Benson,
Austin R., Stanford University
Local
Higher-Order Graph Clustering
(Page 555)
Berg-Kirkpatrick,
Taylor, Carnegie Mellon
University
Efficient
Correlated Topic Modeling with Topic Embedding
(Page 225)
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Berglund,
Andy, University of Florida
Mining
Big Data in NeuroGenetics to Understand Muscular Dystrophy
(Page 11)
Bhagat,
Smriti, Facebook & Technicolor
PNP:
Fast Path Ensemble Method for Movie Design
(Page 1527)
Bifet,
Albert, Telecom ParisTech
Extremely
Fast Decision Tree Mining for Evolving Data Streams
(Page 1733)
Blalock,
Davis W., Massachusetts
Institute of Technology
Bolt:
Accelerated Data Mining with Fast Vector Compression
(Page 727)
Bloom,
Josh, GE
Industrial
Machine Learning
(Page 13)
Böhm,
Christian, Ludwig-Maximilians-Universität
München
Learning
from Labeled and Unlabeled Vertices in Networks
(Page 1265)
Towards
an Optimal Subspace for K-Means
(Page 365)
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Bojchevski,
Aleksandar, Technical
University of Munich
Robust
Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves
Latent Embeddings
(Page 737)
Boley,
Mario, Max Planck Institute
for Informatics & Saarland University
Discovering
Reliable Approximate Functional Dependencies
(Page 355)
Bolot,
Jean, Technicolor
PNP:
Fast Path Ensemble Method for Movie Design
(Page 1527)
Borisyuk,
Fedor, LinkedIn Corporation
LiJAR:
A System for Job Application Redistribution towards Efficient Career Marketplace
(Page 1397)
Boyd,
Stephen, Stanford University
Network
Inference via the Time-Varying Graphical Lasso
(Page 205)
Toeplitz
Inverse Covariance-Based Clustering of Multivariate Time Series Data
(Page 215)
Brantley,
Susan L., Pennsylvania
State University
Contextual
Spatial Outlier Detection with Metric Learning
(Page 2161)
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Breck,
Eric, Google Inc.
TFX:
A TensorFlow-Based Production-Scale Machine Learning Platform
(Page 1387)
Brownstein,
John S., Boston Children's
Hospital
GELL:
Automatic Extraction of Epidemiological Line Lists from Open Sources
(Page 1477)
Brusilovsky,
Peter, University of Pittsburgh
Semi-Supervised
Techniques for Mining Learning Outcomes and Prerequisites
(Page 907)
Bubnov,
Yury, eBay Inc.
Visual
Search at eBay (Page
2101)
Buchler,
Norbou, US Army Research
Laboratory
Is
the Whole Greater Than the Sum of Its Parts?
(Page 295)
Burd,
Randall S., Children's
National Medical Center
A
Data-driven Process Recommender Framework
(Page 2111)
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Burnap,
Alexander, University
of Michigan
Deep
Design: Product Aesthetics for Heterogeneous Markets
(Page 1961)
Butts,
Carter T., University
of California, Irvine
Construction
of Directed 2K Graphs
(Page 1115)
Candel,
Arno, H2O.ai, Inc.
Benchmarks
and Process Management in Data Science: Will We Ever Get Over the Mess?
(Page 31)
Cao,
Bokai, University of Illinois
at Chicago
DeepMood:
Modeling Mobile Phone Typing Dynamics for Mood Detection
(Page 747)
Structural
Deep Brain Network Mining
(Page 475)
Cao,
Lei, Massachusetts Institute
of Technology
Distributed
Local Outlier Detection in Big Data
(Page 1225)
MARAS:
Signaling Multi-Drug Adverse Reactions
(Page 1615)
Scalable
Top-n Local Outlier Detection
(Page 1235)
Cao,
Longbing, University of
Technology Sydney
Behavior
Informatics to Discover Behavior Insight for Active and Tailored Client
Management (Page
15)
Discrete
Content-aware Matrix Factorization
(Page 325)
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Cao,
Nan, Tongji University
FIRST:
Fast Interactive Attributed Subgraph Matching
(Page 1447)
Is
the Whole Greater Than the Sum of Its Parts?
(Page 295)
Cardoso,
Ângelo, ASOS.com
Customer
Lifetime Value Prediction Using Embeddings
(Page 1753)
Carin,
Lawrence, Duke University
Evaluating
U.S. Electoral Representation with a Joint Statistical Model of Congressional
Roll-Calls, Legislative Text, and Voter Registration Data
(Page 1205)
Carlson,
Kimberly, University of
Hawaii Manoa
Incremental
Dual-memory LSTM in Land Cover Prediction
(Page 867)
Cassidy,
Taylor, Army Research
Laboratory
MetaPAD:
Meta Pattern Discovery from Massive Text Corpora
(Page 877)
Caverlee,
James, Texas A&M University
Multi-Aspect
Streaming Tensor Completion
(Page 435)
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to Top) |
Chahuara,
Pedro, XRCE
Real-Time
Optimization of Web Publisher RTB Revenues
(Page 1743)
Chakrabarti,
Soumen, IIT Bombay
Relay-Linking
Models for Prominence and Obsolescence in Evolving Networks
(Page 1077)
Chakraborty,
Prithwish, Virginia Tech
GELL:
Automatic Extraction of Epidemiological Line Lists from Open Sources
(Page 1477)
Chamberlain,
Benjamin Paul, Imperial
College London
Customer
Lifetime Value Prediction Using Embeddings
(Page 1753)
Chan,
Joel, Carnegie Mellon
University
Accelerating
Innovation Through Analogy Mining
(Page 235)
Chan,
Po-Wei, University of
Illinois at Urbana-Champaign
PReP:
Path-Based Relevance from a Probabilistic Perspective in Heterogeneous
Information Networks
(Page 425)
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Chandra,
Rohit, Yahoo
A
Practical Exploration System for Search Advertising
(Page 1625)
Chang,
Keng-hao, Microsoft
DeepProbe:
Information Directed Sequence Understanding and Chatbot Design via Recurrent
Neural Networks
(Page 2131)
Chang,
Xiaojun, Carnegie Mellon
University
Robust
Top-k Multiclass SVM for Visual Category Recognition
(Page 75)
Chang,
Yi, Huawei Research America
Convex
Factorization Machine for Toxicogenomics Prediction
(Page 1215)
Chatterjee,
Snigdhansu, University
of Minnesota
Tripoles:
A New Class of Relationships in Time Series Data
(Page 697)
Chawla,
Nitesh V., University
of Notre Dame
metapath2vec:
Scalable Representation Learning for Heterogeneous Networks
(Page 135)
Structural
Diversity and Homophily: A Study Across More Than One Hundred Big Networks
(Page 807)
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Chen,
Chao, Beihang University
No
Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety
from Dangerous Goods
(Page 1673)
Chen,
Chaochao, Ant Financial
Services Group
KunPeng:
Parameter Server based Distributed Learning Systems and Its Applications
in Alibaba and Ant Financial
(Page 1693)
Chen,
Enhong, University of
Science and Technology of China
Tracking
the Dynamics in Crowdfunding
(Page 625)
Chen,
Jianhui, Microsoft
Convex
Factorization Machine for Toxicogenomics Prediction
(Page 1215)
Chen,
Jinghui, University of
Virginia
Fast
Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization
(Page 757)
Chen,
Lei, Hong Kong University
of Science and Technology
The
Simpler The Better: A Unified Approach to Predicting Original Taxi Demands
based on Large-Scale Online Platforms
(Page 1653)
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Chen,
Lisi, Hong Kong Baptist
University
Discovering
Pollution Sources and Propagation Patterns in Urban Area
(Page 1863)
Chen,
Ming-Syan, National Taiwan
University
On
Finding Socially Tenuous Groups for Online Social Networks
(Page 415)
Chen,
Robert, Georgia Institute
of Technology
LEAP:
Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity
(Page 1315)
Chen,
Ting, University of California,
Los Angeles
On
Sampling Strategies for Neural Network-based Collaborative Filtering
(Page 767)
Chen,
Weizhu, Microsoft Research
ReasoNet:
Learning to Stop Reading in Machine Comprehension
(Page 1047)
Chen,
Xu, Alibaba Cloud
KunPeng:
Parameter Server based Distributed Learning Systems and Its Applications
in Alibaba and Ant Financial
(Page 1693)
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Chen,
Yixin, Washington University
in St. Louis
Weisfeiler-Lehman
Neural Machine for Link Prediction
(Page 575)
Chen,
Yu, Rensselaer Polytechnic
Institute
KATE:
K-Competitive Autoencoder for Text
(Page 85)
Chen,
Yuqiang, 4Paradigm Inc.
The
Simpler The Better: A Unified Approach to Predicting Original Taxi Demands
based on Large-Scale Online Platforms
(Page 1653)
Cheng,
Heng-Tze, Google, Inc.
TensorFlow
Estimators: Managing Simplicity vs. Flexibility in High-Level Machine
Learning Frameworks
(Page 1763)
TFX:
A TensorFlow-Based Production-Scale Machine Learning Platform
(Page 1387)
Cheng,
Hong, Chinese University
of Hong Kong
An
Intelligent Customer Care Assistant System for Large-Scale Cellular Network
Diagnosis (Page
1951)
Cheng,
Kewei, Arizona State University
Unsupervised
Feature Selection in Signed Social Networks
(Page 777)
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Cheng,
Yun, Air Scientific
Discovering
Pollution Sources and Propagation Patterns in Urban Area
(Page 1863)
Chevalier,
Troy, Yahoo Research
Online
Ranking with Constraints: A Primal-Dual Algorithm and Applications to
Web Traffic-Shaping
(Page 405)
Chitta,
Radha, Conduent Labs US
Dipole:
Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent
Neural Networks
(Page 1903)
Choi,
Edward, Georgia Institute
of Technology
GRAM:
Graph-based Attention Model for Healthcare Representation Learning
(Page 787)
Chojnacki,
Alex, University of Michigan
A
Data Science Approach to Understanding Residential Water Contamination
in Flint (Page 1407)
Chong,
Anthony, IKASI
Benchmarks
and Process Management in Data Science: Will We Ever Get Over the Mess?
(Page 31)
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to Top) |
Christin,
Nicolas, Carnegie Mellon
University
Automatic
Application Identification from Billions of Files
(Page 2021)
Cohen,
Edith, Google Research
HyperLogLog
Hyperextended: Sketches for Concave Sublinear Frequency Statistics
(Page 105)
Cohen,
Reuven, Technion
A
Minimal Variance Estimator for the Cardinality of Big Data Set Intersection
(Page 95)
Cohn,
Emily, Boston Children's
Hospital
GELL:
Automatic Extraction of Epidemiological Line Lists from Open Sources
(Page 1477)
Colagrosso,
Mike, Google USA
Quick
Access: Building a Smart Experience for Google Drive
(Page 1643)
Cong,
Gao, Nanyang Technological
University
Discovering
Pollution Sources and Propagation Patterns in Urban Area
(Page 1863)
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to Top) |
Conte,
Alessio, University of
Pisa
Fast
Enumeration of Large k-Plexes
(Page 115)
Corbett-Davies,
Sam, Stanford University
Algorithmic
Decision Making and the Cost of Fairness
(Page 797)
Cui,
Peng, Tsinghua University
A
Temporally Heterogeneous Survival Framework with Application to Social
Behavior Dynamics
(Page 1295)
Estimating
Treatment Effect in the Wild via Differentiated Confounder Balancing
(Page 265)
Long
Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity
(Page 565)
Cui,
Qing, Alibaba Cloud
KunPeng:
Parameter Server based Distributed Learning Systems and Its Applications
in Alibaba and Ant Financial
(Page 1693)
Curtis,
Ross E., AncestryDNA
Estimation
of Recent Ancestral Origins of Individuals on a Large Scale
(Page 1417)
Dadkhahi,
Hamid, University of Massachusetts,
Amherst
Learning
Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded
Devices (Page 1773)
Dai,
Chengyu, University of
Michigan
A
Data Science Approach to Understanding Residential Water Contamination
in Flint (Page 1407)
Dai,
Wei, Carnegie Mellon University
& Petuum Inc.
PPDsparse:
A Parallel Primal-Dual Sparse Method for Extreme Classification
(Page 545)
Das,
Ariyam, University of
California, Los Angeles
Automated
Categorization of Onion Sites for Analyzing the Darkweb Ecosystem
(Page 1793)
Dau,
Hoang Anh, University
of California Riverside
Matrix
Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif
Discovery (Page
125)
Dave,
Vachik S., Indiana University
- Purdue University Indianapolis & CareerBuilder LLC
Supporting
Employer Name Normalization at both Entity and Cluster Level
(Page 1883)
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to Top) |
Davidson,
Ian, University of California,
Davis
Unsupervised
Network Discovery for Brain Imaging Data
(Page 55)
Davulcu,
Hasan, Arizona State University
A
Local Algorithm for Structure-Preserving Graph Cut
(Page 655)
De
La Vega, Alejandro, University
of Texas at Austin
Developing
a Comprehensive Framework for Multimodal Feature Extraction
(Page 1567)
Deb,
Supratim, AT&T Labs
AESOP:
Automatic Policy Learning for Predicting and Mitigating Network Service
Impairments (Page
1783)
Deisenroth,
Marc Peter, Imperial College
London
Customer
Lifetime Value Prediction Using Embeddings
(Page 1753)
Desai,
Paritosh, Target
It
Takes More than Math and Engineering to Hit the Bullseye with Data
(Page 17)
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to Top) |
Dhillon,
Inderjit S., University
of Texas at Austin
Communication-Efficient
Distributed Block Minimization for Nonlinear Kernel Machines
(Page 245)
PPDsparse:
A Parallel Primal-Dual Sparse Method for Extreme Classification
(Page 545)
Dighe,
Abhilash, University of
Michigan
PNP:
Fast Path Ensemble Method for Movie Design
(Page 1527)
Ding,
Yi, Alibaba Cloud
KunPeng:
Parameter Server based Distributed Learning Systems and Its Applications
in Alibaba and Ant Financial
(Page 1693)
Dmitriev,
Pavel, Microsoft Corporation
A
Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled
Experiments (Page
1427)
Doerfler,
Periwinkle, New York University
Backpage
and Bitcoin: Uncovering Human Traffickers
(Page 1595)
Dong,
Xin, Rutgers University
A
Data-driven Process Recommender Framework
(Page 2111)
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to Top) |
Dong,
Yuxiao, Microsoft Research
A
Century of Science: Globalization of Scientific Collaborations, Citations,
and Innovations
(Page 1437)
metapath2vec:
Scalable Representation Learning for Heterogeneous Networks
(Page 135)
Structural
Diversity and Homophily: A Study Across More Than One Hundred Big Networks
(Page 807)
Du,
Boxin, Arizona State University
FIRST:
Fast Interactive Attributed Subgraph Matching
(Page 1447)
Du,
Changying, Chinese Academy
of Sciences
A
Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town
Users (Page 1135)
Duan,
Weitao, LinkedIn
Detecting
Network Effects: Randomizing Over Randomized Experiments
(Page 1027)
Dwork,
Cynthia, Microsoft Research
& Harvard University
What's
Fair? (Page 1) |
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