Search Results for author: Jennifer Brennan

Found 4 papers, 3 papers with code

BAM: Bayes with Adaptive Memory

no code implementations4 Feb 2022 Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey

Online learning via Bayes' theorem allows new data to be continuously integrated into an agent's current beliefs.

online learning

Rethinking Evaluation Methodology for Audio-to-Score Alignment

1 code implementation30 Sep 2020 John Thickstun, Jennifer Brennan, Harsh Verma

This paper offers a precise, formal definition of an audio-to-score alignment.

Sound Audio and Speech Processing

Dynamic Tensor Rematerialization

1 code implementation ICLR 2021 Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock

Checkpointing enables the training of deep learning models under restricted memory budgets by freeing intermediate activations from memory and recomputing them on demand.

Estimating the number and effect sizes of non-null hypotheses

1 code implementation ICML 2020 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.

Experimental Design

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