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08/17/2023
Controlling Federated Learning for Covertness
A learner aims to minimize a function f by repeatedly querying a distrib...
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08/13/2023
Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process
This paper proposes a new approach for change point detection in causal ...
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05/09/2023
Energy-Efficient Mining for Blockchain-Enabled IoT Applications. An Optimal Multiple-Stopping Time Approach
What are the optimal times for an Internet of Things (IoT) device to act...
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04/18/2023
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
Stochastic gradient Langevin dynamics (SGLD) are a useful methodology fo...
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03/29/2023
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
This study presents a novel deep learning method, called GATv2-GCN, for ...
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12/05/2022
Adaptive ECCM for Mitigating Smart Jammers
This paper considers adaptive radar electronic counter-counter measures ...
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11/13/2022
Identifying Coordination in a Cognitive Radar Network – A Multi-Objective Inverse Reinforcement Learning Approach
Consider a target being tracked by a cognitive radar network. If the tar...
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10/20/2022
How can a Radar Mask its Cognition?
A cognitive radar is a constrained utility maximizer that adapts its sen...
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08/18/2022
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory
In mathematical psychology, recent models for human decision-making use ...
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07/13/2022
Estimating Exposure to Information on Social Networks
This paper considers the problem of estimating exposure to information i...
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05/22/2022
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner
Inverse reinforcement learning (IRL) deals with estimating an agent's ut...
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05/03/2022
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
This paper considers meta-cognitive radars in an adversarial setting. A ...
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03/30/2022
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain
The paper constructs a multi-variate Hawkes process model of Bitcoin blo...
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03/10/2022
Controlling Transaction Rate in Tangle Ledger: A Principal Agent Problem Approach
Tangle is a distributed ledger technology that stores data as a directed...
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09/27/2021
Anomalous Edge Detection in Edge Exchangeable Social Network Models
This paper studies detecting anomalous edges in directed graphs that mod...
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03/29/2021
Distributed learning in congested environments with partial information
How can non-communicating agents learn to share congested resources effi...
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03/22/2021
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Preferential attachment, homophily and, their consequences such as the g...
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03/19/2021
Emergence of Structural Inequalities in Scientific Citation Networks
Structural inequalities persist in society, conferring systematic advant...
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02/09/2021
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification
Are deep convolutional neural networks (CNNs) for image classification c...
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09/26/2020
Adaptive Non-reversible Stochastic Gradient Langevin Dynamics
It is well known that adding any skew symmetric matrix to the gradient o...
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09/10/2020
A Markov Decision Process Approach to Active Meta Learning
In supervised learning, we fit a single statistical model to a given dat...
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08/23/2020
Multi-kernel Passive Stochastic Gradient Algorithms
This paper develops a novel passive stochastic gradient algorithm. In pa...
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08/01/2020
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference
This paper considers three inter-related adversarial inference problems ...
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07/07/2020
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
This paper considers a novel formulation of inverse reinforcement learni...
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06/20/2020
Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms
Inverse reinforcement learning (IRL) aims to estimate the reward functio...
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04/09/2020
Policy Gradient using Weak Derivatives for Reinforcement Learning
This paper considers policy search in continuous state-action reinforcem...
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03/23/2020
Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction
We consider anticipatory psychological models for human decision makers ...
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12/01/2019
Inverse Cognitive Radar – A Revealed Preferences Approach
We consider an adversarial signal processing problem involving "us" vers...
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10/24/2019
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
We consider a novel application of inverse reinforcement learning which ...
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12/23/2018
Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics
We consider a framework involving behavioral economics and machine learn...
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11/10/2016
Roadmap Enhanced Improvement to the VSIMM Tracker via a Constrained Stochastic Context Free Grammar
The aim of syntactic tracking is to classify spatio-temporal patterns of...
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12/11/2014
Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks
This paper studies two important signal processing aspects of equilibriu...
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04/22/2011