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2020 – today
- 2022
[c17]Yujia Jin, Aaron Sidford, Kevin Tian:
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. COLT 2022: 4362-4415- [c16]Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian:
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. ICALP 2022: 77:1-77:20 - [c15]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. ICML 2022: 2658-2685 - [c14]Sepehr Assadi, Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian:
Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space. SODA 2022: 627-669 - [i16]Yujia Jin, Aaron Sidford, Kevin Tian:
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. CoRR abs/2202.04640 (2022) - [i15]Yujia Jin, Vidya Muthukumar, Aaron Sidford:
The Complexity of Infinite-Horizon General-Sum Stochastic Games. CoRR abs/2204.04186 (2022) - [i14]Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian:
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. CoRR abs/2204.12721 (2022) - [i13]Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Optimal and Adaptive Monteiro-Svaiter Acceleration. CoRR abs/2205.15371 (2022) - [i12]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. CoRR abs/2206.08627 (2022) - 2021
- [c13]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. COLT 2021: 866-882 - [c12]Yujia Jin, Aaron Sidford:
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. ICML 2021: 5055-5064 - [c11]Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Stochastic Bias-Reduced Gradient Methods. NeurIPS 2021: 10810-10822 - [i11]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. CoRR abs/2105.01778 (2021) - [i10]Yujia Jin, Aaron Sidford:
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. CoRR abs/2106.07046 (2021) - [i9]Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Stochastic Bias-Reduced Gradient Methods. CoRR abs/2106.09481 (2021) - [i8]Lantao Yu, Yujia Jin, Stefano Ermon:
A Unified Framework for Multi-distribution Density Ratio Estimation. CoRR abs/2112.03440 (2021) - 2020
- [c10]Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Coordinate Methods for Matrix Games. FOCS 2020: 283-293 - [c9]Yujia Jin, Aaron Sidford:
Efficiently Solving MDPs with Stochastic Mirror Descent. ICML 2020: 4890-4900 - [c8]Yanlu Xie, Xiaoli Feng, Boxue Li, Jinsong Zhang, Yujia Jin:
A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback. INTERSPEECH 2020: 1015-1016 - [c7]Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian:
Acceleration with a Ball Optimization Oracle. NeurIPS 2020 - [i7]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) - [i6]Yujia Jin, Aaron Sidford:
Efficiently Solving MDPs with Stochastic Mirror Descent. CoRR abs/2008.12776 (2020) - [i5]Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Coordinate Methods for Matrix Games. CoRR abs/2009.08447 (2020) - [i4]Yujia Jin, Aaron Sidford, Kevin Tian:
Semi-Streaming Bipartite Matching in Fewer Passes and Less Space. CoRR abs/2011.03495 (2020)
2010 – 2019
- 2019
- [c6]Yujia Jin, Qi Bao, Zhongzhi Zhang
:
Forest Distance Closeness Centrality in Disconnected Graphs. ICDM 2019: 339-348 - [c5]Yujia Jin, Aaron Sidford:
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. NeurIPS 2019: 3863-3873 - [c4]Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Variance Reduction for Matrix Games. NeurIPS 2019: 11377-11388 - [i3]Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Variance Reduction for Matrix Games. CoRR abs/1907.02056 (2019) - [i2]Yujia Jin, Aaron Sidford:
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. CoRR abs/1910.06517 (2019) - 2017
- [j3]Yujia Jin, Huan Li, Zhongzhi Zhang:
Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. Theor. Comput. Sci. 703: 37-54 (2017) - [i1]Yujia Jin, Huan Li, Zhongzhi Zhang:
Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. CoRR abs/1709.04404 (2017) - 2016
- [j2]Zhuoxi Yu, Yujia Jin, Milan Deepak Parmar, Limin Wang:
Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation. J. Electron. Commer. Organ. 14(1): 64-75 (2016)
2000 – 2009
- 2005
- [c3]Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer:
An automated exploration framework for FPGA-based soft multiprocessor systems. CODES+ISSS 2005: 273-278 - [c2]Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer:
Soft multiprocessor systems for network applications (abstract only). FPGA 2005: 271 - [c1]Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer:
An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. FPL 2005: 487-492 - 2002
- [j1]Andrew Mihal, Chidamber Kulkarni, Matthew W. Moskewicz, Mel M. Tsai, Niraj Shah, Scott J. Weber, Yujia Jin, Kurt Keutzer, Christian Sauer, Kees A. Vissers, Sharad Malik:
Developing Architectural Platforms: A Disciplined Approach. IEEE Des. Test Comput. 19(6): 6-16 (2002)
Coauthor Index
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