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06/03/2023
Accelerating Personalized PageRank Vector Computation
Personalized PageRank Vectors are widely used as fundamental graph-learn...
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06/02/2023
Does it pay to optimize AUC?
The Area Under the ROC Curve (AUC) is an important model metric for eval...
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12/16/2022
Provable Fairness for Neural Network Models using Formal Verification
Machine learning models are increasingly deployed for critical decision-...
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11/02/2022
Hierarchies over Vector Space: Orienting Word and Graph Embeddings
Word and graph embeddings are widely used in deep learning applications....
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04/21/2022
Time Window Frechet and Metric-Based Edit Distance for Passively Collected Trajectories
The advances of modern localization techniques and the wide spread of mo...
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01/12/2021
Maximizing the Expected Value of a Lottery Ticket: How to Sell and When to Buy
Unusually large prize pools in lotteries like Mega Millions and Powerbal...
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11/09/2020
Chapter Captor: Text Segmentation in Novels
Books are typically segmented into chapters and sections, representing c...
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11/09/2020
What time is it? Temporal Analysis of Novels
Recognizing the flow of time in a story is a crucial aspect of understan...
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09/23/2020
Online AUC Optimization for Sparse High-Dimensional Datasets
The Area Under the ROC Curve (AUC) is a widely used performance measure ...
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09/09/2019
The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets
The sequence of documents produced by any given author varies in style a...
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08/30/2019
Fast and Accurate Network Embeddings via Very Sparse Random Projection
We present FastRP, a scalable and performant algorithm for learning dist...
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05/12/2019
The Secret Lives of Names? Name Embeddings from Social Media
Your name tells a lot about you: your gender, ethnicity and so on. It ha...
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04/19/2019
Data Races and the Discrete Resource-time Tradeoff Problem with Resource Reuse over Paths
A determinacy race occurs if two or more logically parallel instructions...
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03/18/2019
MediaRank: Computational Ranking of Online News Sources
In the recent political climate, the topic of news quality has drawn att...
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09/10/2018
Multi-view Models for Political Ideology Detection of News Articles
A news article's title, content and link structure often reveal its poli...
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08/10/2018
Learning to Represent Bilingual Dictionaries
Bilingual word embeddings have been widely used to capture the similarit...
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06/18/2018
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
Multilingual knowledge graph (KG) embeddings provide latent semantic rep...
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02/24/2018
Syntax-Directed Variational Autoencoder for Structured Data
Deep generative models have been enjoying success in modeling continuous...
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08/25/2017
Nationality Classification Using Name Embeddings
Nationality identification unlocks important demographic information, wi...
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05/22/2017
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Over the past century, personality theory and research has successfully ...
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04/24/2017
Recognizing Descriptive Wikipedia Categories for Historical Figures
Wikipedia is a useful knowledge source that benefits many applications i...
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11/21/2016
False-Friend Detection and Entity Matching via Unsupervised Transliteration
Transliterations play an important role in multilingual entity reference...
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05/12/2016
On the Convergent Properties of Word Embedding Methods
Do word embeddings converge to learn similar things over different initi...
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10/22/2015
Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
We present a new computational technique to detect and analyze statistic...
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01/15/2013
