Jennifer Brennan

13 papers A* 5A 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms.
WWW
Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz
2024 A conf
Country-diverted experiments for mitigation of network effects.
RecSys
Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng
2023 A* conf
Causal Estimation of User Learning in Personalized Systems.
EC
Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
2023 J jnl
Causal Estimation of User Learning in Personalized Systems.
CoRR
Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
2022 J jnl
BAM: Bayes with Adaptive Memory.
CoRR
Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey
2022 A* conf
Cluster Randomized Designs for One-Sided Bipartite Experiments.
NeurIPS
Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie
2022 — —
Experimental Design with Scientific Applications
Jennifer Brennan
2022 J jnl
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design.
PLoS Comput. Biol.
Jennifer Brennan, Lalit Jain, Sofia Garman, Ann E. Donnelly, Erik Scott Wright, Kevin Jamieson
2021 A* conf
Dynamic Tensor Rematerialization.
ICLR
Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
2020 J jnl
Dynamic Tensor Rematerialization.
CoRR
Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
2020 A* conf
Estimating the Number and Effect Sizes of Non-null Hypotheses.
ICML
Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
2020 J jnl
Estimating the number and effect sizes of non-null hypotheses.
CoRR
Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
2020 J jnl
Rethinking Evaluation Methodology for Audio-to-Score Alignment.
CoRR
John Thickstun, Jennifer Brennan, Harsh Verma