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03/26/2020
A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference
INFerence-as-a-Service (INFaaS) in the cloud has enabled the prevalent u...
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03/30/2012
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization
The problem of optimizing unknown costly-to-evaluate functions has been ...
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02/25/2012
Clustering using Max-norm Constrained Optimization
We suggest using the max-norm as a convex surrogate constraint for clust...
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02/25/2012
Hybrid Batch Bayesian Optimization
Bayesian Optimization aims at optimizing an unknown non-convex/concave f...
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12/29/2011
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
In this paper we consider the task of estimating the non-zero pattern of...
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07/16/2011
On Learning Discrete Graphical Models Using Greedy Methods
In this paper, we address the problem of learning the structure of a pai...
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06/29/2011
A Dirty Model for Multiple Sparse Regression
Sparse linear regression -- finding an unknown vector from linear measur...
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04/25/2011
Clustering Partially Observed Graphs via Convex Optimization
This paper considers the problem of clustering a partially observed unwe...
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04/03/2011
