Alexander Munteanu
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Conference Polyglot
(4)
π
Academic Marathon
(7)
π§¬
Topic Evolution
π
Century Club
(13)
π₯
Unstoppable
(5)
Conferences
ICML (6)
AISTATS (3)
NIPS (3)
ICLR (1)
Top co-authors
Keywords
logistic regression
(3)
loss function
(2)
oblivious sketching
(2)
data subsampling
(1)
lasso regression
(1)
item response theory
(1)
hyperparameter optimization
(1)
maximum likelihood
(1)
gaussian process
(1)
sparse regression
(1)
high-dimensional optimization
(1)
data compression
(1)
alternating minimization
(1)
maximum likelihood estimation
(1)
sparse linear regression
(1)
convergence analysis
(1)
bayesian optimization
(1)
numerical linear algebra
(1)
k-median clustering
(1)
scalable learning
(1)
Papers
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
ICML 2025
Scalable Learning of Item Response Theory Models
AISTATS 2024
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
ICML 2024
Data subsampling for Poisson regression with pth-root-link
NIPS 2024
Turnstile $\ell_p$ leverage score sampling with applications
ICML 2024
Almost Linear Constant-Factor Sketching for $\ell_1$ 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
NIPS 2019
On Coresets for Logistic Regression
NIPS 2018