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2020 – today
- 2025
[i24]Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang:
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. CoRR abs/2502.02486 (2025)- 2024
- [j6]Junqi Luo
, Qin Ye, Zexin Yang, Yujia Jin:
Positioning Objects From Large Oblique Ultralong Focal Length UAV Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c27]Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract). COLT 2024: 2722 - [c26]Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang:
Truncated Variance Reduced Value Iteration. NeurIPS 2024 - [c25]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions. SODA 2024: 3685-3723 - [i23]Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang:
Truncated Variance Reduced Value Iteration. CoRR abs/2405.12952 (2024) - [i22]Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm. CoRR abs/2406.07521 (2024) - 2023
- [j5]Xu E, Yujia Jin, Yinong Chen, Shenghui Zhao, Yang Wang:
Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm. Int. J. Simul. Process. Model. 20(3): 159-171 (2023) - [j4]Shenghui Zhao, Yang Wang, Yinong Chen, Yujia Jin, N. A. Xu E:
Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm. Int. J. Simul. Process. Model. 20(3): 159-171 (2023) - [c24]Alekh Agarwal, Yujia Jin, Tong Zhang:
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. COLT 2023: 987-1063 - [c23]Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Moments, Random Walks, and Limits for Spectrum Approximation. COLT 2023: 5373-5394 - [c22]Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian:
ReSQueing Parallel and Private Stochastic Convex Optimization. FOCS 2023: 2031-2058 - [c21]Adam Bouland, Yosheb M. Getachew, Yujia Jin, Aaron Sidford, Kevin Tian:
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. ICML 2023: 2932-2952 - [c20]Yujia Jin, Vidya Muthukumar, Aaron Sidford:
The Complexity of Infinite-Horizon General-Sum Stochastic Games. ITCS 2023: 76:1-76:20 - [i21]Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian:
ReSQueing Parallel and Private Stochastic Convex Optimization. CoRR abs/2301.00457 (2023) - [i20]Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian:
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. CoRR abs/2301.03763 (2023) - [i19]Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Moments, Random Walks, and Limits for Spectrum Approximation. CoRR abs/2307.00474 (2023) - [i18]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions. CoRR abs/2311.10886 (2023) - 2022
- [c19]Yujia Jin, Aaron Sidford, Kevin Tian:
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. COLT 2022: 4362-4415 - [c18]Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian:
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. ICALP 2022: 77:1-77:20 - [c17]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. ICML 2022: 2658-2685 - [c16]Yujia Jin, Yanlu Xie, Jinsong Zhang:
A VR Interactive 3D Mandarin Pronunciation Teaching Model. INTERSPEECH 2022: 3951-3952 - [c15]Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Optimal and Adaptive Monteiro-Svaiter Acceleration. NeurIPS 2022 - [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 - [i17]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) - [i16]Yujia Jin, Vidya Muthukumar, Aaron Sidford:
The Complexity of Infinite-Horizon General-Sum Stochastic Games. CoRR abs/2204.04186 (2022) - [i15]Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian:
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. CoRR abs/2204.12721 (2022) - [i14]Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Optimal and Adaptive Monteiro-Svaiter Acceleration. CoRR abs/2205.15371 (2022) - [i13]Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. CoRR abs/2206.08627 (2022) - [i12]Alekh Agarwal, Yujia Jin, Tong Zhang:
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. CoRR abs/2212.06069 (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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