Luigi Carratino
12 papers · 2017–2022 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(11)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(53)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(11)
Mathematics & Optimization
(8)
Optimization
(8)
Core Methods
(6)
Application Areas
(4)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
kernel methods
(6)
gaussian process
(4)
nonparametric learning
(4)
bayesian optimization
(4)
kernel ridge regression
(3)
large-scale learning
(2)
random projection
(2)
kernelized bandit
(2)
data augmentation
(1)
hyperparameter optimization
(1)
model selection
(1)
random sampling
(1)
matrix approximation
(1)
adaptive discretization
(1)
nyström approximation
(1)
k-means clustering
(1)
hyperparameter tuning
(1)
low-rank approximation
(1)
sequential optimization
(1)
label smoothing
(1)
Papers
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
AISTATS 2022
Mean Nyström Embeddings for Adaptive Compressive Learning
AISTATS 2022
On Mixup Regularization
JMLR 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
NeurIPS 2021
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
NeurIPS 2020
Near-linear time Gaussian process optimization with adaptive batching and resparsification
ICML 2020
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
COLT 2019
Learning with SGD and Random Features
NeurIPS 2018
On Fast Leverage Score Sampling and Optimal Learning
NeurIPS 2018
FALKON: An Optimal Large Scale Kernel Method
NeurIPS 2017