Quan Xiao
10 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 💎 Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Keywords
bilevel optimization
(8)
alternating optimization
(2)
federated learning
(1)
representation learning
(1)
learning theory
(1)
stochastic gradient descent
(1)
sparse coding
(1)
primal-dual algorithm
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
sample complexity
(1)
sharpness-aware minimization
(1)
image denoising
(1)
few-shot learning
(1)
stochastic optimization
(1)
dictionary learning
(1)
generative model
(1)
support vector machine
(1)
diffusion model
(1)
model-agnostic meta-learning
(1)
Papers
A First-order Generative Bilevel Optimization Framework for Diffusion Models
ICML 2025
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
ICML 2025
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
UAI 2025
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
ICLR 2025
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
NeurIPS 2024
Alternating Projected SGD for Equality-constrained Bilevel Optimization
AISTATS 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
NeurIPS 2023
A Single-Timescale Method for Stochastic Bilevel Optimization
AISTATS 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
ICML 2022
Image denoising via K-SVD with primal-dual active set algorithm
WACV 2020