Rachel Cummings
21 papers · 2015–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Rachel Cummings?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Wanrong Zhang, Sara Krehbiel, Yajun Mei
9 papers
· 2018–2025
· ICML, AISTATS, NeurIPS
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Differential Privacy Under Class Imbalance: Methods and Empirical Insights
ICML 2025
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
ICML 2025
Thompson Sampling Itself is Differentially Private
AISTATS 2024
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
AISTATS 2022
PAPRIKA: Private Online False Discovery Rate Control
ICML 2021
Single and Multiple Change-Point Detection with Differential Privacy
JMLR 2021
Privately detecting changes in unknown distributions
ICML 2020
Differential Privacy for Growing Databases
NeurIPS 2018
Differentially Private Change-Point Detection
NeurIPS 2018
6 papers whose co-authors appear nowhere else under this name
Mean Estimation with User-level Privacy under Data Heterogeneity
NeurIPS 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
AISTATS 2022
Differentially Private Online Submodular Maximization
AISTATS 2021
Differentially Private Online Submodular Minimization
AISTATS 2019
Learning Auctions with Robust Incentive Guarantees
NeurIPS 2019