Search Results for author:
Found 5 papers, 2 papers with code
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods
Counterfactual fairness methods address the question: How would the prediction change if the sensitive identity attributes referenced in the text instance were different?
SSMF: Shifting Seasonal Matrix Factorization
In general, given a data stream of events with seasonal patterns that innovate over time, how can we effectively and efficiently forecast future events?
Sketch-Based Anomaly Detection in Streaming Graphs
This higher-order sketch has the useful property of preserving the dense subgraph structure (dense subgraphs in the input turn into dense submatrices in the data structure).
Directed Graph Representation through Vector Cross Product
Although cross product between a pair of vectors is defined in three dimensional, the approach is extended to learn N dimensional embeddings while maintaining the non-commutative property.
Fairness-Aware Learning with Prejudice Free Representations
These models are trained over historical data that may contain information about sensitive attributes such as race, sex, religion, etc.
