
Adaptive Nonreversible 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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Multikernel 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 interrelated 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 stateaction 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 spatiotemporal patterns of...
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Reinforcement Learning and Nonparametric Detection of GameTheoretic 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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Vikram Krishnamurthy
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