1 citations · 3 across the 13 of their papers we have counts for
13 papers
Partial Inference in Structured Prediction
Chuyang Ke, Jean Honorio
In this paper, we examine the problem of partial inference in the context of structured prediction. Using a generative model approach, we consider the task of maximizing a score fu…
Exact Inference in High-order Structured Prediction
Chuyang Ke, Jean Honorio
In this paper, we study the problem of inference in high-order structured prediction tasks. In the context of Markov random fields, the goal of a high-order inference task is to ma…
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio
We study the problem of consistently recovering the sparsity pattern of a regression parameter vector from correlated observations governed by deterministic missing data patterns u…
Dual Convexified Convolutional Neural Networks
Site Bai, Chuyang Ke, Jean Honorio
We propose the framework of dual convexified convolutional neural networks (DCCNNs). In this framework, we first introduce a primal learning problem motivated by convexified convol…
Federated Myopic Community Detection with One-shot Communication
Chuyang Ke, Jean Honorio
In this paper, we study the problem of recovering the community structure of a network under federated myopic learning. Under this paradigm, we have several clients, each of them h…
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
Kevin Bello, Chuyang Ke, Jean Honorio
Performing inference in graphs is a common task within several machine learning problems, e.g., image segmentation, community detection, among others. For a given undirected connec…
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
Jiajun Liang, Chuyang Ke, Jean Honorio
In this paper, we study the information theoretic bounds for exact recovery in sub-hypergraph models for community detection. We define a general model called the uniform sub-h…
Exact Partitioning of High-order Planted Models with a Tensor Nuclear Norm Constraint
Chuyang Ke, Jean Honorio
We study the problem of efficient exact partitioning of the hypergraphs generated by high-order planted models. A high-order planted model assumes some underlying cluster structure…
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
Chuyang Ke, Jean Honorio
In this paper we propose an algorithm for exact partitioning of high-order models. We define a general class of -degree Homogeneous Polynomial Models, which subsumes several exa…
Exact Inference with Latent Variables in an Arbitrary Domain
Chuyang Ke, Jean Honorio
We analyze the necessary and sufficient conditions for exact inference of a latent model. In latent models, each entity is associated with a latent variable following some probabil…
Information-theoretic Limits for Community Detection in Network Models
Chuyang Ke, Jean Honorio
We analyze the information-theoretic limits for the recovery of node labels in several network models. This includes the Stochastic Block Model, the Exponential Random Graph Model,…
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang, Shupeng Gui, Chuyang Ke +3
The cardinality constraint is an intrinsic way to restrict the solution structure in many domains, for example, sparse learning, feature selection, and compressed sensing. To solve…
Prognostics of Surgical Site Infections using Dynamic Health Data
Chuyang Ke, Yan Jin, Heather Evans +4
Surgical Site Infection (SSI) is a national priority in healthcare research. Much research attention has been attracted to develop better SSI risk prediction models. However, most…