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Jennifer Brennan
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Dynamic tensor rematerialization
M Kirisame, S Lyubomirsky, A Haan, J Brennan, M He, J Roesch, T Chen, ...
arXiv preprint arXiv:2006.09616, 2020
902020
Cluster randomized designs for one-sided bipartite experiments
J Brennan, V Mirrokni, J Pouget-Abadie
Advances in Neural Information Processing Systems 35, 37962-37974, 2022
202022
Estimating the number and effect sizes of non-null hypotheses
J Brennan, RK Vinayak, K Jamieson
International Conference on Machine Learning, 1123-1133, 2020
102020
Reconciliation feasibility in the presence of gene duplication, loss, and coalescence with multiple individuals per species
J Rogers, A Fishberg, N Youngs, YC Wu
BMC bioinformatics 18, 1-10, 2017
92017
Rethinking evaluation methodology for audio-to-score alignment
J Thickstun, J Brennan, H Verma
arXiv preprint arXiv:2009.14374, 2020
82020
A Study of" Symbiosis Bias" in A/B Tests of Recommendation Algorithms
D Holtz, J Brennan, J Pouget-Abadie
arXiv preprint arXiv:2309.07107, 2023
42023
Causal estimation of user learning in personalized systems
E Munro, D Jones, J Brennan, R Nelet, V Mirrokni, J Pouget-Abadie
Proceedings of the 24th ACM Conference on Economics and Computation, 992-1016, 2023
32023
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design
J Brennan, L Jain, S Garman, AE Donnelly, ES Wright, K Jamieson
PLOS Computational Biology 18 (7), e1010311, 2022
32022
BAM: Bayes with adaptive memory
J Nassar, J Brennan, B Evans, K Lowrey
arXiv preprint arXiv:2202.02405, 2022
32022
Analysis and methods to mitigate effects of under-reporting in count data
J Brennan, M Bannick, N Kassebaum, L Wilner, A Thomson, A Aravkin, ...
arXiv preprint arXiv:2109.12247, 2021
22021
Causal Bootstrap for General Randomized Designs
J Brennan, S Lahaie, A Javanmard, N Doudchenko, J Pouget-Abadie
arXiv preprint arXiv:2410.21464, 2024
2024
Country-diverted experiments for mitigation of network effects
L Lin, C Meng, J Brennan, J Pouget-Abadie, N Han, S Bi, Y Peng
Proceedings of the 18th ACM Conference on Recommender Systems, 765-767, 2024
2024
Data-adaptive exposure thresholds for the Horvitz-Thompson estimator of the Average Treatment Effect in experiments with network interference
V Thiyageswaran, T McCormick, J Brennan
arXiv preprint arXiv:2405.15887, 2024
2024
Reducing Symbiosis Bias Through Better A/B Tests of Recommendation Algorithms
J Brennan, Y Cong, Y Yu, L Lin, Y Peng, C Meng, N Han, ...
arXiv e-prints, arXiv: 2309.07107, 2023
2023
Experimental Design with Scientific Applications
J Brennan
University of Washington, 2022
2022
Experimental Design to Identify Antibiotic Synergy
J Brennan, L Jain, S Garman, AE Donnelly, ES Wright, K Jamieson
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Articles 1–16