Changxiao Cai

Orcid: 0000-0003-4941-7627

According to our database1, Changxiao Cai authored at least 17 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective.
CoRR, May, 2025

Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures.
CoRR, April, 2025

Minimax Optimality of the Probability Flow ODE for Diffusion Models.
CoRR, March, 2025

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps.
IEEE Trans. Inf. Theory, February, 2025

2024
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis.
Oper. Res., 2024

Provable acceleration for diffusion models under minimal assumptions.
CoRR, 2024

Minimax-optimal trust-aware multi-armed bandits.
CoRR, 2024

2023
Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality.
IEEE Trans. Inf. Theory, 2023

2022
Nonconvex Low-Rank Tensor Completion from Noisy Data.
Oper. Res., 2022

Transfer Learning for Contextual Multi-armed Bandits.
CoRR, 2022

2021
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps.
CoRR, 2021

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Conditional Rényi Divergence Saddlepoint and the Maximization of α-Mutual Information.
Entropy, 2019

Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data.
CoRR, 2019

Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁<sub>2, ∞</sub> Statistical Guarantees.
CoRR, 2019

2016
Structured Low-Rank Matrix Factorization for Haplotype Assembly.
IEEE J. Sel. Top. Signal Process., 2016

Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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