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Distributed learning in congested environments with partial information
How can non-communicating agents learn to share congested resources effi...
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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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Emergence of Structural Inequalities in Scientific Citation Networks
Structural inequalities persist in society, conferring systematic advant...
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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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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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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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Multi-kernel Passive Stochastic Gradient Algorithms
This paper develops a novel passive stochastic gradient algorithm. In pa...
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Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference
This paper considers three inter-related adversarial inference problems ...
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Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
This paper considers a novel formulation of inverse reinforcement learni...
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Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms
Inverse reinforcement learning (IRL) aims to estimate the reward functio...
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Policy Gradient using Weak Derivatives for Reinforcement Learning
This paper considers policy search in continuous state-action reinforcem...
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Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction
We consider anticipatory psychological models for human decision makers ...
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Inverse Cognitive Radar – A Revealed Preferences Approach
We consider an adversarial signal processing problem involving "us" vers...
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Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
We consider a novel application of inverse reinforcement learning which ...
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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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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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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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Intent Inference and Syntactic Tracking with GMTI Measurements
In conventional target tracking systems, human operators use the estimat...
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