Han Shen
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
π
Grand Slam
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Optimization
(3)
Deep Learning
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Computer Vision
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Keywords
bilevel optimization
(6)
convergence guarantee
(3)
penalty formulation
(2)
finite-time convergence
(2)
policy gradient
(2)
federated learning
(2)
stackelberg game
(2)
non-convex optimization
(1)
offline reinforcement learning
(1)
reinforcement learning
(1)
sequential decision making
(1)
entropy coding
(1)
inverse reinforcement learning
(1)
reinforcement learning from human feedback
(1)
feature quantization
(1)
hyperparameter optimization
(1)
multi-task learning
(1)
optical flow
(1)
stochastic approximation
(1)
alternating optimization
(1)
Papers
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
ICLR 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
ICML 2024
Alternating Projected SGD for Equality-constrained Bilevel Optimization
AISTATS 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
ICLR 2023
On Penalty-based Bilevel Gradient Descent Method
ICML 2023
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
NeurIPS 2022
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
AAAI 2020