Rasmus Pagh
13 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π£ Hot Topic Early Bird π Renaissance Researcher (7) π Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Academic Marathon
(5)
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Cross-Pollinator
(9)
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Century Club
(13)
π₯
Unstoppable
(6)
Conferences
ICML (7)
NIPS (4)
AISTATS (1)
ALT (1)
Top co-authors
Research topics
Keywords
differential privacy
(6)
weighted sampling
(2)
streaming algorithm
(2)
stochastic gradient descent
(1)
machine learning
(1)
locality-sensitive hashing
(1)
random sampling
(1)
communication efficiency
(1)
approximate nearest neighbor
(1)
feature hashing
(1)
randomized response
(1)
online algorithm
(1)
sparse projection
(1)
frequency estimation
(1)
privacy loss
(1)
kernel density estimation
(1)
privacy-utility trade-off
(1)
estimation error
(1)
unbiased estimation
(1)
distributed learning
(1)
Papers
Private Lossless Multiple Release
ICML 2025
Lightweight Protocols for Distributed Private Quantile Estimation
ICML 2025
Profile Reconstruction from Private Sketches
ICML 2024
Continual Counting with Gradual Privacy Expiration
NIPS 2024
A Smooth Binary Mechanism for Efficient Private Continual Observation
NIPS 2023
Infinitely Divisible Noise in the Low Privacy Regime
ALT 2022
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
AISTATS 2022
Improved Utility Analysis of Private CountSketch
NIPS 2022
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
ICML 2021
CountSketches, Feature Hashing and the Median of Three
ICML 2021
Composable Sketches for Functions of Frequencies: Beyond the Worst Case
ICML 2020
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement
NIPS 2020
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
ICML 2020