Guang Cheng
50 papers · 2013–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Guang Cheng?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zuofeng Shang, Botao Hao, Meimei Liu
11 papers
· 2017–2025
· JMLR, AISTATS, COLT
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Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
JMLR 2025
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
AISTATS 2021
Non-asymptotic Analysis for Nonparametric Testing
COLT 2020
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
AISTATS 2020
Bootstrapping Upper Confidence Bound
NeurIPS 2019
Nonparametric Bayesian Aggregation for Massive Data
JMLR 2019
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection
COLT 2019
Early Stopping for Nonparametric Testing
NeurIPS 2018
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
ICML 2018
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
JMLR 2018
Computational Limits of A Distributed Algorithm for Smoothing Spline
JMLR 2017
8 papers whose co-authors appear nowhere else under this name
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
AAAI 2025
From Address Blocks to Authorized Prefixes: Redesigning RPKI ROV with a Hierarchical Hashing Scheme for Fast and Memory-Efficient Validation
NSDI 2025
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
ICLR 2023
Power Iteration for Tensor PCA
JMLR 2022
High Dimensional Inference in Partially Linear Models
AISTATS 2019
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
NeurIPS 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
JMLR 2015