Zachary Frangella
5 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(3)
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Cross-Pollinator
(13)
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Interdisciplinary Bridge
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Keyword Pioneer
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The Questioner
Conferences
ICML (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
convex optimization
(3)
stochastic gradient
(1)
hyperparameter optimization
(1)
ridge regression
(1)
low-rank approximation
(1)
alternating minimization
(1)
hyperparameter tuning
(1)
nystrรถm approximation
(1)
linear convergence
(1)
support vector machine
(1)
alternating direction method of multiplier
(1)
gpu acceleration
(1)
global minimum
(1)
local optima
(1)
two-layer network
(1)
neural network
(1)
quasiconvex optimization
(1)
cross-validation loss
(1)
stochastic optimization
(1)
out-of-sample loss
(1)
Papers
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
NIPS 2024
Challenges in Training PINNs: A Loss Landscape Perspective
ICML 2024
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates
JMLR 2024
NysADMM: faster composite convex optimization via low-rank approximation
ICML 2022
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
NIPS 2021