Jennifer Brennan

According to our database, Jennifer Brennan authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causal Estimation of User Learning in Personalized Systems.

Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

Experimental Design with Scientific Applications

Jennifer Brennan

PhD thesis, 2022

Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design.

Jennifer Brennan, Lalit Jain, Sofia Garman, Ann E. Donnelly, Erik Scott Wright, Kevin G. Jamieson

PLoS Comput. Biol., 2022

Cluster Randomized Designs for One-Sided Bipartite Experiments.

Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BAM: Bayes with Adaptive Memory.

Josue Nassar, Jennifer Rogers Brennan, Ben Evans, Kendall Lowrey

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Dynamic Tensor Rematerialization.

Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Rethinking Evaluation Methodology for Audio-to-Score Alignment.

John Thickstun, Jennifer Brennan, Harsh Verma

CoRR, 2020

Estimating the Number and Effect Sizes of Non-null Hypotheses.

Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson

Proceedings of the 37th International Conference on Machine Learning, 2020