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2020 – today
- 2024
[j1]Ruchao Wang
, Zhiguo Lu, Yinhe Xiao, Yiheng Zhao, Qijia Jiang, Xinhao Shi:
Design and Control of a Multi-Locomotion Parallel-Legged Bipedal Robot. IEEE Robotics Autom. Lett. 9(2): 1993-2000 (2024)- [i6]Qijia Jiang, David Nabergoj:
Control, Transport and Sampling: Towards Better Loss Design. CoRR abs/2405.13731 (2024) - 2022
- [c10]Qijia Jiang:
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings. NeurIPS 2022 - 2021
- [c9]Heinrich Jiang, Qijia Jiang, Aldo Pacchiano:
Learning the Truth From Only One Side of the Story. AISTATS 2021: 2413-2421 - [c8]Qijia Jiang:
Mirror Langevin Monte Carlo: the Case Under Isoperimetry. NeurIPS 2021: 715-725 - 2020
- [c7]Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta:
Optimizing Black-box Metrics with Adaptive Surrogates. ICML 2020: 4784-4793 - [c6]Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian:
Acceleration with a Ball Optimization Oracle. NeurIPS 2020 - [i5]Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta:
Optimizing Black-box Metrics with Adaptive Surrogates. CoRR abs/2002.08605 (2020) - [i4]Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian:
Acceleration with a Ball Optimization Oracle. CoRR abs/2003.08078 (2020) - [i3]Heinrich Jiang, Qijia Jiang, Aldo Pacchiano:
Learning the Truth From Only One Side of the Story. CoRR abs/2006.04858 (2020)
2010 – 2019
- 2019
- [c5]Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Near-optimal method for highly smooth convex optimization. COLT 2019: 492-507 - [c4]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:
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT 2019: 1392-1393 - [c3]Yu Bai, Qijia Jiang, Ju Sun:
Subgradient Descent Learns Orthogonal Dictionaries. ICLR (Poster) 2019 - [c2]Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Complexity of Highly Parallel Non-Smooth Convex Optimization. NeurIPS 2019: 13900-13909 - [i2]Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford:
Complexity of Highly Parallel Non-Smooth Convex Optimization. CoRR abs/1906.10655 (2019) - 2018
- [i1]Yu Bai, Qijia Jiang, Ju Sun:
Subgradient Descent Learns Orthogonal Dictionaries. CoRR abs/1810.10702 (2018) - 2016
- [c1]Min Ye, Gabriela C. Racz, Qijia Jiang, Xiuwei Zhang, Bernard M. E. Moret:
NEMo: An Evolutionary Model with Modularity for PPI Networks. ISBRA 2016: 224-236
Coauthor Index
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