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Chris Schwiegelshohn

8 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

ICML ×5AAAI ×1NeurIPS ×1SIGMOD ×1

Frequent coauthors

Jakob Burkhardt
×2
Matteo Russo
×2
Sudarshan Shyam
×2
Hannah Keller
×1
Claudio Orlandi
×1
Amer Krivosija
×1
Alexander Munteanu
×1
André Nusser
×1
Jie Gao
×1
Rajesh Jayaram
×1
Benedikt Kolbe
×1
Shay Sapir
×1

Papers

  1. Distributed Differentially Private Data Analytics via Secure Sketching
    ICML 2025 ·
    Jakob Burkhardt
    ,
    Hannah Keller
    ,
    Claudio Orlandi
    , Chris Schwiegelshohn
  2. Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
    ICML 2025 ·
    Amer Krivosija
    ,
    Alexander Munteanu
    ,
    André Nusser
    , Chris Schwiegelshohn
  3. Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
    ICML 2025 ·
    Jie Gao
    ,
    Rajesh Jayaram
    ,
    Benedikt Kolbe
    ,
    Shay Sapir
    , Chris Schwiegelshohn,
    Sandeep Silwal
    ,
    Erik Waingarten
  4. Simple and Optimal Sublinear Algorithms for Mean Estimation
    NeurIPS 2025 ·
    Beatrice Bertolotti
    ,
    Matteo Russo
    , Chris Schwiegelshohn,
    Sudarshan Shyam
  5. Low-Distortion Clustering with Ordinal and Limited Cardinal Information
    AAAI 2024 ·
    Jakob Burkhardt
    ,
    Ioannis Caragiannis
    ,
    Karl Fehrs
    ,
    Matteo Russo
    , Chris Schwiegelshohn,
    Sudarshan Shyam
  6. Optimal Coresets for Low-Dimensional Geometric Median
    ICML 2024 ·
    Peyman Afshani
    , Chris Schwiegelshohn
  7. Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
    SIGMOD 2024 ·
    Andrew Draganov
    ,
    David Saulpic
    , Chris Schwiegelshohn
  8. Sparse Dimensionality Reduction Revisited
    ICML 2024 ·
    Mikael Møller Høgsgaard
    ,
    Lior Kamma
    ,
    Kasper Green Larsen
    ,
    Jelani Nelson
    , Chris Schwiegelshohn