1.4k citations · 5k across the 110 of their papers we have counts for
5 papers · 1 filter
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text…
Quantifying and Reducing Stereotypes in Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou +2
Machine learning algorithms are optimized to model statistical properties of the training data. If the input data reflects stereotypes and biases of the broader society, then the o…
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Akash Srivastava, James Zou, Ryan P. Adams +1
A good clustering can help a data analyst to explore and understand a data set, but what constitutes a good clustering may depend on domain-specific and application-specific criter…
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan H. Huggins, James Zou
Markov chains and diffusion processes are indispensable tools in machine learning and statistics that are used for inference, sampling, and modeling. With the growth of large-scale…
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Akash Srivastava, James Zou, Charles Sutton
A good clustering can help a data analyst to explore and understand a data set, but what constitutes a good clustering may depend on domain-specific and application-specific criter…