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20232025
most citedDiffusion Model for Data-Driven Black-Box Optimization

3 citations · 5 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.LG20251 cited

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations

Kaixuan Huang, Jiacheng Guo, Zihao Li +15

Large language models have demonstrated impressive performance on challenging mathematical reasoning tasks, which has triggered the discussion of whether the performance is achieve…

cs.LG2024

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

Zihao Li, Yuan Cao, Cheng Gao +5

Transformers have achieved great success in recent years. Interestingly, transformers have shown particularly strong in-context learning capability -- even without fine-tuning, the…

cs.LG20243 cited

Diffusion Model for Data-Driven Black-Box Optimization

Zihao Li, Hui Yuan, Kaixuan Huang +4

Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency…

cs.LG2024

Regularized DeepIV with Model Selection

Zihao Li, Hui Lan, Vasilis Syrgkanis +2

In this paper, we study nonparametric estimation of instrumental variable (IV) regressions. While recent advancements in machine learning have introduced flexible methods for IV es…

cs.LG20241 cited

Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

Yuchen Wu, Minshuo Chen, Zihao Li +2

Diffusion models benefit from instillation of task-specific information into the score function to steer the sample generation towards desired properties. Such information is coine…

cs.LG2024

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning

Zihao Li, Boyi Liu, Zhuoran Yang +2

We study the Constrained Convex Markov Decision Process (MDP), where the goal is to minimize a convex functional of the visitation measure, subject to a convex constraint. Designin…