Alexander Munteanu
13 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22)
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Keyword Collector
(65)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(11)
Optimization
(10)
Optimization & Theory Β· Machine Learning
(9)
Core Methods
(7)
Application Areas
(4)
Mathematics
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Applications Β· Data Science & Analytics
(2)
Deep Learning
(1)
Applications Β· Computer Science
(1)
Architectures
(1)
Foundations
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
logistic regression
(4)
oblivious sketching
(3)
polygonal curve
(2)
loss function
(2)
subspace embedding
(2)
input sparsity time
(2)
item response theory
(1)
sparse regression
(1)
data subsampling
(1)
vc dimension
(1)
gaussian process
(1)
lasso regression
(1)
data compression
(1)
alternating minimization
(1)
hyperparameter optimization
(1)
bayesian optimization
(1)
high-dimensional optimization
(1)
maximum likelihood
(1)
coresets
(1)
sparse linear regression
(1)
Papers
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
ICML 2025
Data subsampling for Poisson regression with pth-root-link
NeurIPS 2024
Optimal bounds for β_p sensitivity sampling via β_2 augmentation
ICML 2024
Scalable Learning of Item Response Theory Models
AISTATS 2024
Turnstile β_p leverage score sampling with applications
ICML 2024
Almost Linear Constant-Factor Sketching for β_1 and Logistic Regression
ICLR 2023
Optimal Sketching Bounds for Sparse Linear Regression
AISTATS 2023
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis
ICML 2022
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
AISTATS 2022
Oblivious Sketching for Logistic Regression
ICML 2021
A Framework for Bayesian Optimization in Embedded Subspaces
ICML 2019
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
NeurIPS 2019
On Coresets for Logistic Regression
NeurIPS 2018