Changxiao Cai - RankMe

24 papers A* 3Misc 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptation to Intrinsic Dependence in Diffusion Language Models. CoRR Yunxiao Zhao, Changxiao Cai
2026	J	`jnl`	Confidence-Based Decoding is Provably Efficient for Diffusion Language Models. CoRR Changxiao Cai, Gen Li
2025	J	`jnl`	A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective. CoRR Gen Li, Changxiao Cai
2025	J	`jnl`	Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach. CoRR Yuchen Jiao, Na Li, Changxiao Cai, Gen Li
2025	J	`jnl`	Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures. CoRR Gen Li, Changxiao Cai, Yuting Wei
2025	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. IEEE Trans. Inf. Theory Gen Li, Changxiao Cai, H. Vincent Poor, Yuxin Chen
2025	J	`jnl`	Minimax Optimality of the Probability Flow ODE for Diffusion Models. CoRR Changxiao Cai, Gen Li
2024	J	`jnl`	Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
2024	J	`jnl`	Minimax-optimal trust-aware multi-armed bandits. CoRR Changxiao Cai, Jiacheng Zhang
2024	J	`jnl`	Provable acceleration for diffusion models under minimal assumptions. CoRR Gen Li, Changxiao Cai
2023	J	`jnl`	Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. IEEE Trans. Inf. Theory Changxiao Cai, H. Vincent Poor, Yuxin Chen
2022	J	`jnl`	Nonconvex Low-Rank Tensor Completion from Noisy Data. Oper. Res. Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2022	J	`jnl`	Transfer Learning for Contextual Multi-armed Bandits. CoRR Changxiao Cai, T. Tony Cai, Hongzhe Li
2021	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2020	A*	`conf`	Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. ICML Changxiao Cai, H. Vincent Poor, Yuxin Chen
2020	J	`jnl`	Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. CoRR Changxiao Cai, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Conditional Rényi Divergence Saddlepoint and the Maximization of α-Mutual Information. Entropy Changxiao Cai, Sergio Verdú
2019	J	`jnl`	Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. CoRR Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	A*	`conf`	Nonconvex Low-Rank Tensor Completion from Noisy Data. NeurIPS Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁 CoRR Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2016	Misc	`conf`	Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems. ICASSP Changxiao Cai, Sujay Sanghavi, Haris Vikalo
2016	J	`jnl`	Structured Low-Rank Matrix Factorization for Haplotype Assembly. IEEE J. Sel. Top. Signal Process. Changxiao Cai, Sujay Sanghavi, Haris Vikalo