Jiang, Qijia

10 publications

NeurIPSW 2024 When Differentiable Programming Meets Spectral PDE Solver Qijia Jiang

NeurIPS 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings Qijia Jiang

AISTATS 2021 Learning the Truth from Only One Side of the Story Heinrich Jiang, Qijia Jiang, Aldo Pacchiano

NeurIPS 2021 Mirror Langevin Monte Carlo: The Case Under Isoperimetry Qijia Jiang

NeurIPS 2020 Acceleration with a Ball Optimization Oracle Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian

ICML 2020 Optimizing Black-Box Metrics with Adaptive Surrogates Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya Gupta

NeurIPS 2019 Complexity of Highly Parallel Non-Smooth Convex Optimization Sebastien Bubeck, Qijia Jiang, Yin-Tat Lee, Yuanzhi Li, Aaron Sidford

COLT 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-Th Derivatives Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

COLT 2019 Near-Optimal Method for Highly Smooth Convex Optimization Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

ICLR 2019 Subgradient Descent Learns Orthogonal Dictionaries Yu Bai, Qijia Jiang, Ju Sun