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Chaoyue Liu
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 19
Top Topics
Learning Stage
Bregman Divergences
Neural Network
Directed Acyclic Graph
Top Venues
CoRR
ICLR
NeurIPS
CNS
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Publications
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Libin Zhu
,
Chaoyue Liu
,
Adityanarayanan Radhakrishnan
,
Mikhail Belkin
Quadratic models for understanding catapult dynamics of neural networks.
ICLR
(2024)
Chaoyue Liu
,
Amirhesam Abedsoltan
,
Mikhail Belkin
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks.
CoRR
(2023)
Chaoyue Liu
,
Dmitriy Drusvyatskiy
,
Misha Belkin
,
Damek Davis
,
Yi-An Ma
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems.
NeurIPS
(2023)
Chaoyue Liu
,
Dmitriy Drusvyatskiy
,
Mikhail Belkin
,
Damek Davis
,
Yi-An Ma
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems.
CoRR
(2023)
Libin Zhu
,
Chaoyue Liu
,
Adityanarayanan Radhakrishnan
,
Mikhail Belkin
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning.
CoRR
(2023)
Chaoyue Liu
,
Libin Zhu
,
Misha Belkin
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models.
ICLR
(2022)
Libin Zhu
,
Chaoyue Liu
,
Mikhail Belkin
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture.
CoRR
(2022)
Chaoyue Liu
,
Libin Zhu
,
Mikhail Belkin
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models.
CoRR
(2022)
Libin Zhu
,
Chaoyue Liu
,
Misha Belkin
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture.
NeurIPS
(2022)
Libin Zhu
,
Chaoyue Liu
,
Adityanarayanan Radhakrishnan
,
Mikhail Belkin
Quadratic models for understanding neural network dynamics.
CoRR
(2022)
Kun Jin
,
Chaoyue Liu
,
Cathy Xia
Two-Sided Wasserstein Procrustes Analysis.
IJCAI
(2021)
Kun Jin
,
Chaoyue Liu
,
Cathy Xia
OTDA: a Unsupervised Optimal Transport framework with Discriminant Analysis for Keystroke Inference.
CNS
(2020)
Chaoyue Liu
,
Libin Zhu
,
Mikhail Belkin
On the linearity of large non-linear models: when and why the tangent kernel is constant.
CoRR
(2020)
Chaoyue Liu
,
Libin Zhu
,
Mikhail Belkin
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning.
CoRR
(2020)
Chaoyue Liu
,
Libin Zhu
,
Mikhail Belkin
On the linearity of large non-linear models: when and why the tangent kernel is constant.
NeurIPS
(2020)
Chaoyue Liu
,
Mikhail Belkin
Accelerating SGD with momentum for over-parameterized learning.
ICLR
(2020)
Chaoyue Liu
,
Mikhail Belkin
Parametrized Accelerated Methods Free of Condition Number.
CoRR
(2018)
Chaoyue Liu
,
Mikhail Belkin
MaSS: an Accelerated Stochastic Method for Over-parametrized Learning.
CoRR
(2018)
Chaoyue Liu
,
Mikhail Belkin
Clustering with Bregman Divergences: an Asymptotic Analysis.
NIPS
(2016)