Chris Schwiegelshohn

Venues

Frequent coauthors

Papers

1. Distributed Differentially Private Data Analytics via Secure Sketching
   ICML 2025 ·

   Jakob Burkhardt

   DBLP profile ↗ORCID search ↗
2. Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
   ICML 2025 ·

   Amer Krivosija

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3. Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
   ICML 2025 ·

   Jie Gao

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4. Simple and Optimal Sublinear Algorithms for Mean Estimation
   NeurIPS 2025 ·

   Beatrice Bertolotti

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5. Low-Distortion Clustering with Ordinal and Limited Cardinal Information
   AAAI 2024 ·

   Jakob Burkhardt

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6. Optimal Coresets for Low-Dimensional Geometric Median
   ICML 2024 ·

   Peyman Afshani

   DBLP profile ↗ORCID search ↗
7. Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
   SIGMOD 2024 ·

   Andrew Draganov

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8. Sparse Dimensionality Reduction Revisited
   ICML 2024 ·

   Mikael Møller Høgsgaard

   DBLP profile ↗ORCID search ↗