Rachel Cummings
20 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10)
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Academic Marathon
(10)
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Hot Topic Early Bird
🐝
Cross-Pollinator
(5)
🔬
Deep Specialist
(13)
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Keyword Collector
(82)
💎
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(20)
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(8)
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Trend Setter
Conferences
AISTATS (7)
NIPS (5)
ICML (4)
COLT (2)
AAAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(14)
change-point detection
(3)
regret bound
(3)
mechanism design
(2)
online learning
(2)
incentive compatibility
(2)
offline detection
(2)
online detection
(2)
false discovery rate
(1)
minimax optimality
(1)
active learning
(1)
pac learning
(1)
mean estimation
(1)
statistical learning
(1)
sample complexity
(1)
optimal transport
(1)
causal inference
(1)
stochastic process
(1)
linear regression
(1)
sequential hypothesis testing
(1)
Papers
ClusterSC: Advancing Synthetic Control with Donor Selection
AISTATS 2025
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
Differentially Private Synthetic Control
AISTATS 2023
An active learning framework for multi-group mean estimation
NIPS 2023
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
AISTATS 2022
Mean Estimation with User-level Privacy under Data Heterogeneity
NIPS 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
AISTATS 2022
Single and Multiple Change-Point Detection with Differential Privacy
JMLR 2021
Differentially Private Online Submodular Maximization
AISTATS 2021
PAPRIKA: Private Online False Discovery Rate Control
ICML 2021
Privately detecting changes in unknown distributions
ICML 2020
Learning Auctions with Robust Incentive Guarantees
NIPS 2019
Differentially Private Online Submodular Minimization
AISTATS 2019
Differential Privacy for Growing Databases
NIPS 2018
Differentially Private Change-Point Detection
NIPS 2018
Adaptive Learning with Robust Generalization Guarantees
COLT 2016
Truthful Linear Regression
COLT 2015