 Improving Adaptivity via Over-Parameterization in Sequence ModelsNeural Information Processing Systems (NeurIPS), 2024 Yicheng Li Qian Lin |
 Implicit Regularization in Over-Parameterized Support Vector MachineNeural Information Processing Systems (NeurIPS), 2023 |
 Robust High-dimensional Tuning Free Multiple TestingAnnals of Statistics (Ann. Stat.), 2022 |
 Theoretical Guarantees for Permutation-Equivariant Quantum Neural
Networksnpj Quantum Information (NQI), 2022 |
 |
 Tensor-on-Tensor Regression: Riemannian Optimization,
Over-parameterization, Statistical-computational Gap, and Their InterplayAnnals of Statistics (Ann. Stat.), 2022 |
 COMBSS: Best Subset Selection via Continuous OptimizationStatistics and computing (Stat. Comput.), 2022 |
 Are Latent Factor Regression and Sparse Regression Adequate?Journal of the American Statistical Association (JASA), 2022 |
