Richard Y. Zhang
5 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Research topics
Keywords
non-convex optimization
(3)
semidefinite programming
(3)
k-means clustering
(1)
scalability
(1)
adversarial training
(1)
low-rank approximation
(1)
gradient descent
(1)
restricted isometry property
(1)
matrix recovery
(1)
exact recovery
(1)
robustness certification
(1)
low-rank optimization
(1)
non-negative matrix factorization
(1)
global optimality
(1)
local minima
(1)
neural network certification
(1)
statistical optimality
(1)
bound propagation
(1)
neural network
(1)
spurious local minima
(1)
Papers
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
ICML 2025
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
ICLR 2024
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
JMLR 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
ICML 2023
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery
JMLR 2019