Chris Schwiegelshohn
12 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (7) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(18)
π§¬
Topic Evolution
π
Century Club
(12)
π
Trend Setter
π₯
Unstoppable
(5)
Conferences
ICML (5)
NIPS (5)
AAAI (1)
AISTATS (1)
Top co-authors
Keywords
approximation algorithm
(3)
compressed sensing
(1)
logistic regression
(1)
euclidean space
(1)
sparse regression
(1)
lasso regression
(1)
data compression
(1)
sparse linear regression
(1)
dynamic clustering
(1)
generalization bound
(1)
data stream
(1)
convergence rate
(1)
loss function
(1)
geometric median
(1)
dynamic algorithm
(1)
projective clustering
(1)
facility location
(1)
social cost
(1)
oblivious sketching
(1)
ordinal information
(1)
Papers
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
ICML 2025
Distributed Differentially Private Data Analytics via Secure Sketching
ICML 2025
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
ICML 2025
Sparse Dimensionality Reduction Revisited
ICML 2024
Optimal Coresets for Low-Dimensional Geometric Median
ICML 2024
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
AAAI 2024
Optimal Sketching Bounds for Sparse Linear Regression
AISTATS 2023
On Generalization Bounds for Projective Clustering
NIPS 2023
Improved Coresets for Euclidean $k$-Means
NIPS 2022
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
NIPS 2021
Fully Dynamic Consistent Facility Location
NIPS 2019
On Coresets for Logistic Regression
NIPS 2018