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Yingbin Liang
Yingbin Liang
18
papers
467
total citations
papers (18)
Provably Faster Algorithms for Bilevel Optimization
NEURIPS 2021
arXiv
157
citations
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
NEURIPS 2020
arXiv
88
citations
Will Bilevel Optimizers Benefit from Loops
NEURIPS 2022
arXiv
48
citations
On the Convergence Theory for Hessian-Free Bilevel Algorithms
NEURIPS 2022
arXiv
40
citations
Finite-Time Analysis for Double Q-learning
NEURIPS 2020
arXiv
32
citations
Provable Benefit of Multitask Representation Learning in Reinforcement Learning
NEURIPS 2022
arXiv
26
citations
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
NEURIPS 2020
arXiv
25
citations
Provable Generalization of Overparameterized Meta-learning Trained with SGD
NEURIPS 2022
arXiv
13
citations
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
ICLR 2025
arXiv
13
citations
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NEURIPS 2023
arXiv
8
citations
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
NEURIPS 2025
arXiv
6
citations
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
ICLR 2025
arXiv
3
citations
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
ICLR 2025
arXiv
3
citations
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
NEURIPS 2025
arXiv
3
citations
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
NEURIPS 2023
arXiv
1
citations
DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity
ICLR 2025
1
citations
Faster Non-asymptotic Convergence for Double Q-learning
NEURIPS 2021
0
citations
A Unifying Framework of Off-Policy General Value Function Evaluation
NEURIPS 2022
0
citations