Qinqing Zheng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Differential Privacy

Top Venues

Publications

Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng
Diffusion World Model. CoRR (2024)
Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. ICLR (2024)
Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
Latent State Marginalization as a Low-cost Approach for Improving Exploration. ICLR (2023)
Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
Guided Flows for Generative Modeling and Decision Making. CoRR (2023)
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. ICML (2023)
Qinqing Zheng, Amy Zhang, Aditya Grover
Online Decision Transformer. ICML (2022)
Tung Nguyen, Qinqing Zheng, Aditya Grover
ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning. CoRR (2022)
Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
Latent State Marginalization as a Low-cost Approach for Improving Exploration. CoRR (2022)
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. CoRR (2022)
Qinqing Zheng, Amy Zhang, Aditya Grover
Online Decision Transformer. CoRR (2022)
Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
A Theorem of the Alternative for Personalized Federated Learning. CoRR (2021)
Arun K. Kuchibhotla, Qinqing Zheng
Near-Optimal Confidence Sequences for Bounded Random Variables. ICML (2021)
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
Federated f-Differential Privacy. AISTATS (2021)
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
Federated $f$-Differential Privacy. CoRR (2021)
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. ICML (2020)
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. CoRR (2020)
Arun Kumar Kuchibhotla, Qinqing Zheng
Near-Optimal Confidence Sequences for Bounded Random Variables. CoRR (2020)
Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. CoRR (2020)
Qinqing Zheng, John D. Lafferty
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent. CoRR (2016)
Qinqing Zheng, Ryota Tomioka
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm. CoRR (2015)
Qinqing Zheng, John D. Lafferty
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements. NIPS (2015)
Qinqing Zheng, John D. Lafferty
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements. CoRR (2015)
Qinqing Zheng, Ryota Tomioka
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm. NIPS (2015)