Chuyang Ke

According to our database1, Chuyang Ke authored at least 16 papers between 2017 and 2024.

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Bibliography

2024
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns.
Trans. Mach. Learn. Res., 2024

On the Dual Problem of Convexified Convolutional Neural Networks.
Trans. Mach. Learn. Res., 2024

2023
Partial Inference in Structured Prediction.
CoRR, 2023

Exact Inference in High-order Structured Prediction.
Proceedings of the International Conference on Machine Learning, 2023

2022
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation.
J. Mach. Learn. Res., 2022

Dual Convexified Convolutional Neural Networks.
CoRR, 2022

Exact Partitioning of High-Order Planted Models with A Tensor Nuclear Norm Constraint.
Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Myopic Community Detection with One-shot Communication.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy.
CoRR, 2021

Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2019
Exact Recovery in the Latent Space Model.
CoRR, 2019

2018
Information-theoretic Limits for Community Detection in Network Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Prognostics of surgical site infections using dynamic health data.
J. Biomed. Informatics, 2017

University of Rochester WMT 2017 NMT System Submission.
Proceedings of the Second Conference on Machine Translation, 2017

On The Projection Operator to A Three-view Cardinality Constrained Set.
Proceedings of the 34th International Conference on Machine Learning, 2017


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