4 citations · 8 across the 4 of their papers we have counts for
4 papers
Causal Estimation of User Learning in Personalized Systems
Evan Munro, David Jones, Jennifer Brennan +3
In online platforms, the impact of a treatment on an observed outcome may change over time as 1) users learn about the intervention, and 2) the system personalization, such as indi…
Rethinking Evaluation Methodology for Audio-to-Score Alignment
John Thickstun, Jennifer Brennan, Harsh Verma
This paper offers a precise, formal definition of an audio-to-score alignment. While the concept of an alignment is intuitively grasped, this precision affords us new insight into…
Dynamic Tensor Rematerialization
Marisa Kirisame, Steven Lyubomirsky, Altan Haan +5
Checkpointing enables the training of deep learning models under restricted memory budgets by freeing intermediate activations from memory and recomputing them on demand. Current c…
Estimating the number and effect sizes of non-null hypotheses
Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
We study the problem of estimating the distribution of effect sizes (the mean of the test statistic under the alternate hypothesis) in a multiple testing setting. Knowing this dist…