Qijia Jiang

18 papers A* 7A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine-Learned Sampling of Conditioned Path Measures.
CoRR
Qijia Jiang, Reuben Cohn-Gordon
2024 J jnl
Control, Transport and Sampling: Towards Better Loss Design.
CoRR
Qijia Jiang, David Nabergoj
2024 J jnl
Design and Control of a Multi-Locomotion Parallel-Legged Bipedal Robot.
IEEE Robotics Autom. Lett.
Ruchao Wang, Zhiguo Lu, Yinhe Xiao, Yiheng Zhao, Qijia Jiang, Xinhao Shi
2022 A* conf
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings.
NeurIPS
Qijia Jiang
2021 A conf
Learning the Truth From Only One Side of the Story.
AISTATS
Heinrich Jiang, Qijia Jiang, Aldo Pacchiano
2021 A* conf
Mirror Langevin Monte Carlo: the Case Under Isoperimetry.
NeurIPS
Qijia Jiang
2020 A* conf
Acceleration with a Ball Optimization Oracle.
NeurIPS
Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
2020 J jnl
Acceleration with a Ball Optimization Oracle.
CoRR
Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
2020 J jnl
Learning the Truth From Only One Side of the Story.
CoRR
Heinrich Jiang, Qijia Jiang, Aldo Pacchiano
2020 A* conf
Optimizing Black-box Metrics with Adaptive Surrogates.
ICML
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2020 J jnl
Optimizing Black-box Metrics with Adaptive Surrogates.
CoRR
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2019 A* conf
Complexity of Highly Parallel Non-Smooth Convex Optimization.
NeurIPS
Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019 J jnl
Complexity of Highly Parallel Non-Smooth Convex Optimization.
CoRR
Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019 A* conf
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.
COLT
Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019 A* conf
Near-optimal method for highly smooth convex optimization.
COLT
Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019 — conf
Subgradient Descent Learns Orthogonal Dictionaries.
ICLR (Poster)
Yu Bai, Qijia Jiang, Ju Sun
2018 J jnl
Subgradient Descent Learns Orthogonal Dictionaries.
CoRR
Yu Bai, Qijia Jiang, Ju Sun
2016 — conf
NEMo: An Evolutionary Model with Modularity for PPI Networks.
ISBRA
Min Ye, Gabriela C. Racz, Qijia Jiang, Xiuwei Zhang, Bernard M. E. Moret