Qinqing Zheng
12 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Mathematics & Optimization
(4)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Learning Types
(3)
Mathematics
(3)
Optimization
(3)
Optimization & Theory
(3)
Application Areas
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Deep Learning
(1)
Security & Privacy
(1)
Keywords
federated learning
(2)
gaussian differential privacy
(2)
reasoning trace
(2)
offline reinforcement learning
(2)
adversarial robustness
(1)
neural network training
(1)
sequence modeling
(1)
semidefinite programming
(1)
semi-supervised learning
(1)
convex optimization
(1)
tensor decomposition
(1)
gradient descent
(1)
continuous control
(1)
algorithmic stability
(1)
signal-to-noise ratio
(1)
sequential decision
(1)
minimax estimation
(1)
inverse dynamics
(1)
matrix completion
(1)
imitation learning
(1)
Papers
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
ICLR 2025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
ICML 2025
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
ICLR 2024
Latent State Marginalization as a Low-cost Approach for Improving Exploration
ICLR 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
JMLR 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
Online Decision Transformer
ICML 2022
Federated f-Differential Privacy
AISTATS 2021
Near-Optimal Confidence Sequences for Bounded Random Variables
ICML 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NeurIPS 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
NeurIPS 2015