research
∙
02/15/2021
Efficient Learning with Arbitrary Covariate Shift
We give an efficient algorithm for learning a binary function in a given...
share
research
∙
02/13/2020
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
Domain generalization is the problem of machine learning when the traini...
research
∙
02/20/2018
Actively Avoiding Nonsense in Generative Models
A generative model may generate utter nonsense when it is fit to maximiz...
research
∙
09/14/2017
Supervising Unsupervised Learning
We introduce a framework to leverage knowledge acquired from a repositor...
research
∙
06/25/2017
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Word embeddings, which represent a word as a point in a vector space, ha...
research
∙
07/21/2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
The blind application of machine learning runs the risk of amplifying bi...
research
∙
06/20/2016
Quantifying and Reducing Stereotypes in Word Embeddings
Machine learning algorithms are optimized to model statistical propertie...
research
∙
02/18/2013