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20162024
most citedLearning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions

7 citations · 17 across the 25 of their papers we have counts for

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Showing 2020 · cs.LGShow all

7 papers · 2 filters

cs.LG2020★ 2 cited

Exact Support Recovery in Federated Regression with One-shot Communication

Adarsh Barik, Jean Honorio

Federated learning provides a framework to address the challenges of distributed computing, data ownership and privacy over a large number of distributed clients with low computati…

cs.LG2020

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…

cs.LG2020

Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation

Qian Zhang, Yilin Zheng, Jean Honorio

In this paper, we study meta learning for support (i.e., the set of non-zero entries) recovery in high-dimensional precision matrix estimation where we reduce the sufficient sample…

cs.LG2020

Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation

Abdulrahman Alabdulkareem, Jean Honorio

In this paper we analyze the necessary number of samples to estimate the gradient of any multidimensional smooth (possibly non-convex) function in a zero-order stochastic oracle mo…

cs.LG2020

First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions

Krishna Reddy Kesari, Jean Honorio

Machine learning algorithms typically perform optimization over a class of non-convex functions. In this work, we provide bounds on the fundamental hardness of identifying the glob…

cs.LG2020

Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation

Yuki Ohnishi, Jean Honorio

We introduce several novel change of measure inequalities for two families of divergences: -divergences and -divergences. We show how the variational representation for -d…