Zachary Frangella
5 papers · 2021–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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The Questioner
Venues
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Research topics
Keywords
convex optimization
(3)
stochastic gradient
(1)
hyperparameter optimization
(1)
ridge regression
(1)
loss landscape
(1)
low-rank approximation
(1)
alternating minimization
(1)
hyperparameter tuning
(1)
nyström approximation
(1)
linear convergence
(1)
support vector machine
(1)
alternating direction method of multiplier
(1)
physics-informed neural network
(1)
gpu acceleration
(1)
global minimum
(1)
local optima
(1)
two-layer network
(1)
differential operator
(1)
neural network
(1)
quasiconvex optimization
(1)
Papers
Challenges in Training PINNs: A Loss Landscape Perspective
ICML 2024
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
NeurIPS 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
NeurIPS 2021