337 citations · 2.2k across the 46 of their papers we have counts for
5 papers · 1 filter
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren +1
For the task of generating complex outputs such as source code, editing existing outputs can be easier than generating complex outputs from scratch. With this motivation, we propos…
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong +1
Machine learning models (e.g., speech recognizers) are usually trained to minimize average loss, which results in representation disparity---minority groups (e.g., non-native speak…
Unsupervised Transformation Learning via Convex Relaxations
Tatsunori B. Hashimoto, John C. Duchi, Percy Liang
Our goal is to extract meaningful transformations from raw images, such as varying the thickness of lines in handwriting or the lighting in a portrait. We propose an unsupervised a…
Estimating Mixture Models via Mixtures of Polynomials
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Mixture modeling is a general technique for making any simple model more expressive through weighted combination. This generality and simplicity in part explains the success of the…
Data Augmentation via Levy Processes
Stefan Wager, William Fithian, Percy Liang
If a document is about travel, we may expect that short snippets of the document should also be about travel. We introduce a general framework for incorporating these types of inva…