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05/30/2023
Identifying the Complete Correlation Structure in Large-Scale High-Dimensional Data Sets with Local False Discovery Rates
The identification of the dependent components in multiple data sets is ...
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05/25/2023
Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar
The large number and scale of natural and man-made disasters have led to...
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04/27/2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization
Distributed learning paradigms, such as federated or decentralized learn...
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04/01/2022
Robust and Efficient Aggregation for Distributed Learning
Distributed learning paradigms, such as federated and decentralized lear...
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08/27/2021
Multiple Hypothesis Testing Framework for Spatial Signals
The problem of identifying regions of spatially interesting, different o...
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07/26/2021
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
The Fiedler vector of a connected graph is the eigenvector associated wi...
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05/20/2021
Minimax Robust Detection: Classic Results and Recent Advances
This paper provides an overview of results and concepts in minimax robus...
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05/11/2021
Asymptotically Optimal Procedures for Sequential Joint Detection and Estimation
We investigate the problem of jointly testing multiple hypotheses and es...
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03/27/2020
Bayesian Sequential Joint Detection and Estimation under Multiple Hypotheses
We consider the problem of jointly testing multiple hypotheses and estim...
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03/01/2020
Distributed Joint Detection and Estimation: A Sequential Approach
We investigate the problem of jointly testing two hypotheses and estimat...
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02/20/2019
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation
In this paper, tight upper and lower bounds are derived on the weighted ...
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12/20/2018
Decentralized Decision-Making Over Multi-Task Networks
In important applications involving multi-task networks with multiple ob...
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11/29/2018
Robust Bayesian Cluster Enumeration
A major challenge in cluster analysis is that the number of data cluster...
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11/10/2018
Minimax Optimal Sequential Hypothesis Tests for Markov Processes
Under mild Markov assumptions, sufficient conditions for strict minimax ...
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07/09/2018
Bayesian Sequential Joint Detection and Estimation
Joint detection and estimation refers to deciding between two or more hy...
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04/26/2018
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution
Tight bounds on the minimum mean square error for the additive Gaussian ...
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04/16/2018
On the Equivalence of f-Divergence Balls and Density Bands in Robust Detection
The paper deals with minimax optimal statistical tests for two composite...
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03/01/2018
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Recent advances in the field of inverse reinforcement learning (IRL) hav...
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02/01/2018
Robust Sequential Detection in Distributed Sensor Networks
We consider the problem of sequential binary hypothesis testing with a d...
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10/22/2017
A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning
The Bayesian Information Criterion (BIC) has been widely used for estima...
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02/26/2017
Bayesian Nonparametric Unmixing of Hyperspectral Images
Hyperspectral imaging is an important tool in remote sensing, allowing f...
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02/26/2017
Bayesian Nonparametric Feature and Policy Learning for Decision-Making
Learning from demonstrations has gained increasing interest in the recen...
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10/28/2016
Decentralized Clustering and Linking by Networked Agents
We consider the problem of decentralized clustering and estimation over ...
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10/21/2016
Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model
We present a sparse estimation and dictionary learning framework for com...
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05/04/2016
A Bayesian Approach to Policy Recognition and State Representation Learning
Learning from demonstration (LfD) is the process of building behavioral ...
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02/17/2016