52 citations · 177 across the 15 of their papers we have counts for
4 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…
Derivative free optimization via repeated classification
Tatsunori B. Hashimoto, Steve Yadlowsky, John C. Duchi
We develop an algorithm for minimizing a function using batched function value measurements at each of rounds by using classifiers to identify a function's sublevel set. We…
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…