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Query-Based Selection of Optimal Candidates under the Mallows Model
We introduce the problem of query-based selection of the optimal candida...
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Quickest Detection of Moving Anomalies in Sensor Networks
The problem of sequentially detecting a moving anomaly which affects dif...
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Image De-Quantization Using Generative Models as Priors
Image quantization is used in several applications aiming in reducing th...
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Image Restoration from Parametric Transformations using Generative Models
When images are statistically described by a generative model we can use...
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Designing GANs: A Likelihood Ratio Approach
We are interested in the design of generative adversarial networks. The ...
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Training Neural Networks for Likelihood/Density Ratio Estimation
Various problems in Engineering and Statistics require the computation o...
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Optimizing Shallow Networks for Binary Classification
Data driven classification that relies on neural networks is based on op...
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Detecting Changes in Hidden Markov Models
We consider the problem of sequential detection of a change in the stati...
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Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors
We consider the sequential change-point detection for asynchronous multi...
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Kernel-Based Training of Generative Networks
Generative adversarial networks (GANs) are designed with the help of min...
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Sequential Subspace Changepoint Detection
We consider the sequential changepoint detection problem of detecting ch...
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First-order optimal sequential subspace change-point detection
We consider the sequential change-point detection problem of detecting c...
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Optimal Stopping for Interval Estimation in Bernoulli Trials
We propose an optimal sequential methodology for obtaining confidence in...
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