Chris Schwiegelshohn
12 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🧬 Topic Evolution
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Keyword Collector
(59)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(10)
Optimization
(10)
Optimization & Theory
(6)
Core Methods
(5)
Computer Science
(4)
Data Science & Analytics
(2)
Application Areas
(2)
Foundations
(2)
Mathematics
(2)
Applications · Computer Science
(1)
Applications · Data Science & Analytics
(1)
Learning Types
(1)
Methods
(1)
Systems
(1)
Keywords
approximation algorithm
(3)
geometric median
(2)
dimensionality reduction
(2)
compressed sensing
(1)
low-rank approximation
(1)
euclidean space
(1)
ridge regression
(1)
lasso regression
(1)
data compression
(1)
intrinsic dimensionality
(1)
sparse linear regression
(1)
linear transformation
(1)
coresets
(1)
dynamic clustering
(1)
generalization bound
(1)
outliers
(1)
data stream
(1)
sparse regression
(1)
convergence rate
(1)
logistic regression
(1)
Papers
Distributed Differentially Private Data Analytics via Secure Sketching
ICML 2025
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
ICML 2025
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
ICML 2025
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
AAAI 2024
Optimal Coresets for Low-Dimensional Geometric Median
ICML 2024
Sparse Dimensionality Reduction Revisited
ICML 2024
On Generalization Bounds for Projective Clustering
NeurIPS 2023
Optimal Sketching Bounds for Sparse Linear Regression
AISTATS 2023
Improved Coresets for Euclidean k-Means
NeurIPS 2022
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
NeurIPS 2021
Fully Dynamic Consistent Facility Location
NeurIPS 2019
On Coresets for Logistic Regression
NeurIPS 2018