Thomas Parnell
6 papers · 2017–2021 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(6)
Mathematics & Optimization
(3)
Application Areas
(3)
Optimization
(3)
Deep Learning
(2)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Foundations
(1)
Learning Types
(1)
Systems
(1)
Keywords
stochastic optimization
(2)
generalized linear model
(2)
distributed learning
(2)
coordinate descent
(2)
hyperparameter optimization
(1)
bayesian optimization
(1)
stochastic gradient descent
(1)
random sampling
(1)
logistic regression
(1)
gradient boosting
(1)
gradient descent
(1)
distributed training
(1)
convergence guarantee
(1)
hyperparameter tuning
(1)
stochastic coordinate descent
(1)
privacy-preserving learning
(1)
model selection
(1)
parallel algorithm
(1)
primal-dual method
(1)
differential privacy
(1)
Papers
Differentially Private Stochastic Coordinate Descent
AAAI 2021
SnapBoost: A Heterogeneous Boosting Machine
NeurIPS 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
AAAI 2020
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
NeurIPS 2019
Snap ML: A Hierarchical Framework for Machine Learning
NeurIPS 2018
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
NeurIPS 2017