Qin, Tian

15 publications

AAAI 2025 Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

TMLR 2025 Riemann-Lebesgue Forest for Regression Tian Qin, Wei-Min Huang

NeurIPS 2025 Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

NeurIPS 2024 A Label Is Worth a Thousand Images in Dataset Distillation Tian Qin, Zhiwei Deng, David Alvarez-Melis

NeurIPS 2024 Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

ICML 2024 Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman

ICLRW 2024 Distributional Dataset Distillation with Subtask Decomposition Tian Qin, Zhiwei Deng, David Alvarez-Melis

NeurIPSW 2024 Sometimes I Am a Tree: Data Drives Fragile Hierarchical Generalization Tian Qin, Naomi Saphra, David Alvarez-Melis

NeurIPSW 2024 Sometimes I Am a Tree: Data Drives Fragile Hierarchical Generalization Tian Qin, Naomi Saphra, David Alvarez-Melis

MLJ 2024 Tracking Treatment Effect Heterogeneity in Evolving Environments Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou

ICML 2023 Estimating Possible Causal Effects with Latent Variables via Adjustment Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

NeurIPS 2023 Rehearsal Learning for Avoiding Undesired Future Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

NeurIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

NeurIPS 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

ICML 2021 Budgeted Heterogeneous Treatment Effect Estimation Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou