Jennifer Brennan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Reservoir Sampling

Conditionally Independent

Disjoint Clusters

Top Venues

Publications

Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
Causal Estimation of User Learning in Personalized Systems. CoRR (2023)
Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
Causal Estimation of User Learning in Personalized Systems. EC (2023)
Jennifer Brennan, Lalit Jain, Sofia Garman, Ann E. Donnelly, Erik Scott Wright, Kevin G. Jamieson
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design. PLoS Comput. Biol. 18 (7) (2022)
Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey
BAM: Bayes with Adaptive Memory. CoRR (2022)
Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie
Cluster Randomized Designs for One-Sided Bipartite Experiments. NeurIPS (2022)
Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
Dynamic Tensor Rematerialization. ICLR (2021)
John Thickstun, Jennifer Brennan, Harsh Verma
Rethinking Evaluation Methodology for Audio-to-Score Alignment. CoRR (2020)
Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
Estimating the number and effect sizes of non-null hypotheses. CoRR (2020)
Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
Dynamic Tensor Rematerialization. CoRR (2020)
Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
Estimating the Number and Effect Sizes of Non-null Hypotheses. ICML (2020)