Luigi Carratino
12 papers · 2017–2022 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(25)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(11)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
π
Century Club
(12)
ποΈ
Keyword Collector
(54)
Conferences
NIPS (5)
AISTATS (3)
ICML (2)
COLT (1)
JMLR (1)
Top co-authors
Keywords
kernel methods
(6)
gaussian process
(4)
nonparametric learning
(4)
bayesian optimization
(4)
kernel ridge regression
(3)
kernelized bandit
(2)
random projection
(2)
data augmentation
(1)
hyperparameter optimization
(1)
model selection
(1)
large-scale learning
(1)
random sampling
(1)
large scale learning
(1)
matrix approximation
(1)
hyperparameter tuning
(1)
k-means clustering
(1)
low-rank approximation
(1)
sequential optimization
(1)
adaptive discretization
(1)
label smoothing
(1)
Papers
On Mixup Regularization
JMLR 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
Mean NystrΓΆm Embeddings for Adaptive Compressive Learning
AISTATS 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
ICML 2022
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
NIPS 2021
Near-linear time Gaussian process optimization with adaptive batching and resparsification
ICML 2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
NIPS 2020
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
COLT 2019
On Fast Leverage Score Sampling and Optimal Learning
NIPS 2018
Learning with SGD and Random Features
NIPS 2018
FALKON: An Optimal Large Scale Kernel Method
NIPS 2017