Rasmus Pagh
13 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(58)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Mathematics & Optimization
(7)
Application Areas
(7)
Computer Science
(5)
Optimization
(5)
Foundations
(4)
Mathematics
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Security & Privacy
(3)
Differential Privacy
(3)
Core AI
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Keywords
differential privacy
(6)
gaussian mechanism
(2)
weighted sampling
(2)
streaming algorithm
(2)
random sampling
(1)
machine learning
(1)
stochastic gradient descent
(1)
approximate nearest neighbor
(1)
locality sensitive hashing
(1)
feature hashing
(1)
randomized response
(1)
online algorithm
(1)
sparse projection
(1)
communication efficiency
(1)
frequency estimation
(1)
privacy loss
(1)
privacy-utility trade-off
(1)
estimation error
(1)
unbiased estimation
(1)
kernel density estimation
(1)
Papers
Lightweight Protocols for Distributed Private Quantile Estimation
ICML 2025
Private Lossless Multiple Release
ICML 2025
Continual Counting with Gradual Privacy Expiration
NeurIPS 2024
Profile Reconstruction from Private Sketches
ICML 2024
A Smooth Binary Mechanism for Efficient Private Continual Observation
NeurIPS 2023
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
AISTATS 2022
Improved Utility Analysis of Private CountSketch
NeurIPS 2022
Infinitely Divisible Noise in the Low Privacy Regime
ALT 2022
CountSketches, Feature Hashing and the Median of Three
ICML 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
ICML 2021
Composable Sketches for Functions of Frequencies: Beyond the Worst Case
ICML 2020
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
ICML 2020
WOR and p's: Sketches for β_p-Sampling Without Replacement
NeurIPS 2020