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Aamand, Anders
12 publications
ICML
2025
Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
Anders Aamand
,
Justin Y. Chen
,
Mina Dalirrooyfard
,
Slobodan Mitrović
,
Yuriy Nevmyvaka
,
Sandeep Silwal
,
Yinzhan Xu
NeurIPS
2025
Differentially Private Gomory-Hu Trees
Anders Aamand
,
Justin Y. Chen
,
Mina Dalirrooyfard
,
Slobodan Mitrović
,
Yuriy Nevmyvaka
,
Sandeep Silwal
,
Yinzhan Xu
NeurIPS
2025
Differentially Private Quantiles with Smaller Error
Jacob Imola
,
Fabrizio Boninsegna
,
Hannah Keller
,
Anders Aamand
,
Amrita Roy Chowdhury
,
Rasmus Pagh
ICML
2025
Improved Approximations for Hard Graph Problems Using Predictions
Anders Aamand
,
Justin Y. Chen
,
Siddharth Gollapudi
,
Sandeep Silwal
,
Hao Wu
ICLR
2025
Learning-Augmented Frequent Directions
Anders Aamand
,
Justin Y. Chen
,
Siddharth Gollapudi
,
Sandeep Silwal
,
Hao Wu
ICML
2025
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand
,
Fabrizio Boninsegna
,
Abigail Gentle
,
Jacob Imola
,
Rasmus Pagh
NeurIPS
2024
Statistical-Computational Trade-Offs for Density Estimation
Anders Aamand
,
Alexandr Andoni
,
Justin Y. Chen
,
Piotr Indyk
,
Shyam Narayanan
,
Sandeep Silwal
,
Haike Xu
NeurIPS
2023
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand
,
Justin Chen
,
Allen Liu
,
Sandeep Silwal
,
Pattara Sukprasert
,
Ali Vakilian
,
Fred Zhang
ICML
2023
Data Structures for Density Estimation
Anders Aamand
,
Alexandr Andoni
,
Justin Y. Chen
,
Piotr Indyk
,
Shyam Narayanan
,
Sandeep Silwal
NeurIPS
2023
Improved Frequency Estimation Algorithms with and Without Predictions
Anders Aamand
,
Justin Chen
,
Huy Nguyen
,
Sandeep Silwal
,
Ali Vakilian
NeurIPS
2022
(Optimal) Online Bipartite Matching with Degree Information
Anders Aamand
,
Justin Chen
,
Piotr Indyk
NeurIPS
2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand
,
Justin Chen
,
Piotr Indyk
,
Shyam Narayanan
,
Ronitt Rubinfeld
,
Nicholas Schiefer
,
Sandeep Silwal
,
Tal Wagner