124 citations · 147 across the 12 of their papers we have counts for
17 papers
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange +5
Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addre…
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
Tyler Will, Runyu Zhang, Eli Sadovnik +5
We introduce a new method based on nonnegative matrix factorization, Neural NMF, for detecting latent hierarchical structure in data. Datasets with hierarchical structure arise in…
Structural Equivalence in Subgraph Matching
Dominic Yang, Yurun Ge, Thien Nguyen +3
Symmetry plays a major role in subgraph matching both in the description of the graphs in question and in how it confounds the search process. This work addresses how to quantify t…
Inference of Media Bias and Content Quality Using Natural-Language Processing
Zehan Chao, Denali Molitor, Deanna Needell +1
Media bias can significantly impact the formation and development of opinions and sentiments in a population. It is thus important to study the emergence and development of partisa…
Analysis of Legal Documents via Non-negative Matrix Factorization Methods
Ryan Budahazy, Lu Cheng, Yihuan Huang +7
The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assist…
Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales
Lara Kassab, Alona Kryshchenko, Hanbaek Lyu +4
Temporal data (such as news articles or Twitter feeds) often consists of a mixture of long-lasting trends and popular but short-lasting topics of interest. A truly successful topic…