Shangzhi Zeng
10 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (13) π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (5)
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
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Dynamic Duo
(10)
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Unstoppable
(6)
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Century Club
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Conferences
ICML (6)
ICLR (2)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
bi-level optimization
(3)
bilevel optimization
(3)
convergence analysis
(3)
non-convex optimization
(2)
value function
(2)
gradient descent
(2)
interior-point method
(1)
image deconvolution
(1)
hyper-parameter optimization
(1)
hyperparameter tuning
(1)
linear convergence
(1)
convergence guarantee
(1)
alternating direction method of multiplier
(1)
proximal algorithm
(1)
first-order algorithm
(1)
gradient method
(1)
fixed-point iteration
(1)
variational analysis
(1)
kkt condition
(1)
difference-of-convex programming
(1)
Papers
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
ICLR 2025
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
ICML 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
ICLR 2024
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
ICML 2023
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
ICML 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
ICML 2022
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
NIPS 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
ICML 2021
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
ICML 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis
JMLR 2020