Yujia Jin

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 50

Top Topics

Density Estimation

Environmental Factors

Convex Optimization

Top Venues

Publications

Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm. CoRR (2024)
Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
Truncated Variance Reduced Value Iteration. CoRR (2024)
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)
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)
Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. CoRR (2023)
Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
Moments, Random Walks, and Limits for Spectrum Approximation. CoRR (2023)
Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian
ReSQueing Parallel and Private Stochastic Convex Optimization. CoRR (2023)
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) (2023)
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) (2023)
Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
Moments, Random Walks, and Limits for Spectrum Approximation. COLT (2023)
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 (2023)
Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian
ReSQueing Parallel and Private Stochastic Convex Optimization. FOCS (2023)
Alekh Agarwal, Yujia Jin, Tong Zhang
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. COLT (2023)
Adam Bouland, Yosheb M. Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. ICML (2023)
Yujia Jin, Vidya Muthukumar, Aaron Sidford
The Complexity of Infinite-Horizon General-Sum Stochastic Games. ITCS (2023)
Yujia Jin, Yanlu Xie, Jinsong Zhang
A VR Interactive 3D Mandarin Pronunciation Teaching Model. INTERSPEECH (2022)
Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
Optimal and Adaptive Monteiro-Svaiter Acceleration. CoRR (2022)
Sepehr Assadi, Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space. SODA (2022)
Yujia Jin, Aaron Sidford, Kevin Tian
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. CoRR (2022)
Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. CoRR (2022)
Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
Optimal and Adaptive Monteiro-Svaiter Acceleration. NeurIPS (2022)
Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. ICALP (2022)
Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. ICML (2022)
Yujia Jin, Vidya Muthukumar, Aaron Sidford
The Complexity of Infinite-Horizon General-Sum Stochastic Games. CoRR (2022)
Yujia Jin, Aaron Sidford, Kevin Tian
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. COLT (2022)
Alekh Agarwal, Yujia Jin, Tong Zhang
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. CoRR (2022)
Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. CoRR (2022)
Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
Stochastic Bias-Reduced Gradient Methods. CoRR (2021)
Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. COLT (2021)
Lantao Yu, Yujia Jin, Stefano Ermon
A Unified Framework for Multi-distribution Density Ratio Estimation. CoRR (2021)
Yujia Jin, Aaron Sidford
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. ICML (2021)
Yujia Jin, Aaron Sidford
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. CoRR (2021)
Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
Stochastic Bias-Reduced Gradient Methods. NeurIPS (2021)
Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. CoRR (2021)
Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
Acceleration with a Ball Optimization Oracle. NeurIPS (2020)
Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
Coordinate Methods for Matrix Games. FOCS (2020)
Yanlu Xie, Xiaoli Feng, Boxue Li, Jinsong Zhang, Yujia Jin
A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback. INTERSPEECH (2020)
Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
Coordinate Methods for Matrix Games. CoRR (2020)
Yujia Jin, Aaron Sidford
Efficiently Solving MDPs with Stochastic Mirror Descent. CoRR (2020)
Yujia Jin, Aaron Sidford
Efficiently Solving MDPs with Stochastic Mirror Descent. ICML (2020)
Yujia Jin, Aaron Sidford, Kevin Tian
Semi-Streaming Bipartite Matching in Fewer Passes and Less Space. CoRR (2020)
Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
Acceleration with a Ball Optimization Oracle. CoRR (2020)
Yujia Jin, Qi Bao, Zhongzhi Zhang
Forest Distance Closeness Centrality in Disconnected Graphs. ICDM (2019)
Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
Variance Reduction for Matrix Games. NeurIPS (2019)
Yujia Jin, Aaron Sidford
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. NeurIPS (2019)
Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
Variance Reduction for Matrix Games. CoRR (2019)
Yujia Jin, Aaron Sidford
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. CoRR (2019)
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 (2017)
Yujia Jin, Huan Li, Zhongzhi Zhang
Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. CoRR (2017)
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) (2016)
Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer
Soft multiprocessor systems for network applications (abstract only). FPGA (2005)
Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
An automated exploration framework for FPGA-based soft multiprocessor systems. CODES+ISSS (2005)
Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer
An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. FPL (2005)
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) (2002)