Thomas Parnell
6 papers · 2017–2021 · 2 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (2) ๐ฃ Hot Topic Early Bird ๐ Cross-Pollinator (15) ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge
๐บ๏ธ
Taxonomy Completionist
(21)
๐งญ
Keyword Pioneer
๐ฅ
Unstoppable
(5)
๐
Trend Setter
Conferences
NIPS (4)
AAAI (2)
Top co-authors
Research topics
Keywords
stochastic optimization
(2)
generalized linear model
(2)
distributed learning
(2)
coordinate descent
(2)
hyperparameter optimization
(1)
hyperparameter tuning
(1)
stochastic gradient descent
(1)
gradient boosting
(1)
logistic regression
(1)
random sampling
(1)
distributed training
(1)
bayesian optimization
(1)
convergence guarantee
(1)
stochastic coordinate descent
(1)
gradient descent
(1)
model selection
(1)
parallel algorithm
(1)
primal-dual method
(1)
ensemble method
(1)
differential privacy
(1)
Papers
Differentially Private Stochastic Coordinate Descent
AAAI 2021
SnapBoost: A Heterogeneous Boosting Machine
NIPS 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
AAAI 2020
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
NIPS 2019
Snap ML: A Hierarchical Framework for Machine Learning
NIPS 2018
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
NIPS 2017