Qinqing Zheng

According to our database, Qinqing Zheng authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback.

Qinqing Zheng, Mikael Henaff, Amy Zhang, Aditya Grover, Brandon Amos

CoRR, 2024

Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.

DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng

CoRR, 2024

Diffusion World Model.

Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng

CoRR, 2024

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning.

Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?

Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su

J. Mach. Learn. Res., 2023

Guided Flows for Generative Modeling and Decision Making.

Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen

CoRR, 2023

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories.

Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

Proceedings of the International Conference on Machine Learning, 2023

Latent State Marginalization as a Low-cost Approach for Improving Exploration.

Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning.

Tung Nguyen, Qinqing Zheng, Aditya Grover

CoRR, 2022

Online Decision Transformer.

Qinqing Zheng, Amy Zhang, Aditya Grover

Proceedings of the International Conference on Machine Learning, 2022

2021

A Theorem of the Alternative for Personalized Federated Learning.

Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su

CoRR, 2021

Near-Optimal Confidence Sequences for Bounded Random Variables.

Arun K. Kuchibhotla, Qinqing Zheng

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated f-Differential Privacy.

Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training.

Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou

CoRR, 2020

Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.

Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su

Proceedings of the 37th International Conference on Machine Learning, 2020

2016

Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent.

Qinqing Zheng, John D. Lafferty

CoRR, 2016

2015

Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm.

Qinqing Zheng, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements.

Qinqing Zheng, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015