Dachao Lin
7 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
๐บ๏ธ
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
convergence analysis
(3)
gradient descent
(2)
bfgs method
(2)
sr1 method
(2)
quasi-newton method
(2)
superlinear convergence
(2)
policy iteration
(1)
variance reduction
(1)
smooth optimization
(1)
unconstrained optimization
(1)
learning rate
(1)
convergence rate
(1)
gradient flow
(1)
linear neural network
(1)
deep linear network
(1)
saddle point
(1)
step size
(1)
local optimum
(1)
sublinear convergence
(1)
neural network
(1)
Papers
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
NeurIPS 2023
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods
JMLR 2022
On Non-local Convergence Analysis of Deep Linear Networks
ICML 2022
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data
NeurIPS 2021
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
NeurIPS 2021
Toward Understanding the Importance of Noise in Training Neural Networks
ICML 2019