Papers
Learning to Incentivize: Eliciting Effort via Output Agreement
Yang Liu, Yiling Chen
What Does Social Media Say about Your Stress?
Huijie Lin, Jia Jia, Liqiang Nie et al.
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
Sheng Li, Nikos Vlassis, Jaya Kawale et al.
Identifying Key Observers to Find Popular Information in Advance
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi et al.
Real-Time Web Scale Event Summarization Using Sequential Decision Making
Chris Kedzie, Fernando Diaz, Kathleen McKeown
Ordering Concepts Based on Common Attribute Intensity
Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji et al.
Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering
Ruining He, Chunbin Lin, Jianguo Wang et al.
Efficient Algorithms for Spanning Tree Centrality
Takanori Hayashi, Takuya Akiba, Yuichi Yoshida
Questimator: Generating Knowledge Assessments for Arbitrary Topics
Qi Guo, Chinmay Kulkarni, Aniket Kittur et al.
Weakly-Supervised Deep Learning for Customer Review Sentiment Classification
Ziyu Guan, Long Chen, Wei Zhao et al.
Assessing Translation Ability through Vocabulary Ability Assessment
Yo Ehara, Yukino Baba, Masao Utiyama et al.
HIEDS: A Generic and Efficient Approach to Hierarchical Dataset Summarization
Gong Cheng, Cheng Jin, Yuzhong Qu
Timeline Summarization from Social Media with Life Cycle Models
Yi Chang, Jiliang Tang, Dawei Yin et al.
Multi-Source Iterative Adaptation for Cross-Domain Classification
Himanshu S. Bhatt, Arun Rajkumar, Shourya Roy
Non-Objection Inference for Inconsistency-Tolerant Query Answering
Salem Benferhat, Zied Bouraoui, Madalina Croitoru et al.
Inferring Motif-Based Diffusion Models for Social Networks
Qing Bao, William K. Cheung, Jiming Liu
Domain Adaptation for Learning from Label Proportions Using Self-Training
Ehsan Mohammady Ardehaly, Aron Culotta
ATUCAPTS: Automated Tests that a User Cannot Pass Twice Simultaneously
Garrett Andersen, Vincent Conitzer
A Generative Model for Recognizing Mixed Group Activities in Still Images
Zheng Zhou, Kan Li, Xiangjian He et al.
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Li Zhou, Emma Brunskill
Swift: Compiled Inference for Probabilistic Programming Languages
Yi Wu, Lei Li, Stuart Russell et al.
Group Decision Making via Probabilistic Belief Merging
Nico Potyka, Erman Acar, Matthias Thimm et al.
Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming
Steffen Michels, Arjen Hommersom, Peter J.F. Lucas
A Symbolic Closed-Form Solution to Sequential Market Making with Inventory
Shamin Kinathil, Scott Sanner, Sanmay Das et al.