Published 'A (2 + ε)-Approximation Algorithm for Metric k-Median' at STOC 2025
Published 'A Tight VC-Dimension Analysis of Clustering Coresets with Applications' at SODA 2025
Published 'Fair Projections as a Means Towards Balanced Recommendations' at ACM Trans. Intell. Syst. Technol. 2025
Published 'Sensitivity Sampling for k-Means: Worst Case and Stability Optimal Coreset Bounds' at FOCS 2024
Published 'Optimal Coresets for Low-Dimensional Geometric Median' at ICML 2024
Published 'Sparse Dimensionality Reduction Revisted' at ICML 2024
Published 'Low-distortion clustering with ordinal and limited cardinal information' at AAAI 2024
Published 'Settling Time vs. Accuracy Tradeoffs for Clustering Big Data' at SIGMOD 2024
Published 'Adaptive Out-Orientations with Applications' at SODA 2024
Published 'On Generalization Bounds for Projective Clustering' at NeurIPS 2023
Published 'Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation' at FOCS 2023
Published 'Optimal Sketching Bounds for Sparse Linear Regression' at AISTATS 2023
Published 'Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-Median' at SODA 2023
Published 'Improved Coresets for Euclidean k-Means' at NeurIPS 2022
Published 'The Power of Uniform Sampling for Coresets' at FOCS 2022
Published 'An Empirical Evaluation of k-Means Coresets' at ESA 2022, Best Paper Award
Published 'Scalable Differentially Private Clustering via Hierarchically Separated Trees' at KDD 2022
Published 'Towards Optimal Lower Bounds for k-median and k-means Coresets' at STOC 2022
Published 'Maintaining an EDCS in General Graphs: Simpler, Density-Sensitive and with Worst-Case Time Bounds' at SOSA 2022
Published 'Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities' at Algorithmica 2021
Research Experience
Previously worked at Sapienza University. Currently a faculty member of the Computer Science Department at Aarhus University.
Background
Currently an Associate Professor in the Department of Computer Science at Aarhus University. Research interests include algorithm design, particularly online, streaming, approximation, and learning algorithms.