
Distributed learning in congested environments with partial information
How can noncommunicating agents learn to share congested resources effi...
read it

A Directed, BiPopulated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Preferential attachment, homophily and, their consequences such as the g...
read it

Emergence of Structural Inequalities in Scientific Citation Networks
Structural inequalities persist in society, conferring systematic advant...
read it

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...
read it

Adaptive Nonreversible Stochastic Gradient Langevin Dynamics
It is well known that adding any skew symmetric matrix to the gradient o...
read it

A Markov Decision Process Approach to Active Meta Learning
In supervised learning, we fit a single statistical model to a given dat...
read it

Multikernel Passive Stochastic Gradient Algorithms
This paper develops a novel passive stochastic gradient algorithm. In pa...
read it

Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference
This paper considers three interrelated adversarial inference problems ...
read it

Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search
This paper considers a novel formulation of inverse reinforcement learni...
read it

Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms
Inverse reinforcement learning (IRL) aims to estimate the reward functio...
read it

Policy Gradient using Weak Derivatives for Reinforcement Learning
This paper considers policy search in continuous stateaction reinforcem...
read it

Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction
We consider anticipatory psychological models for human decision makers ...
read it

Inverse Cognitive Radar – A Revealed Preferences Approach
We consider an adversarial signal processing problem involving "us" vers...
read it

Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
We consider a novel application of inverse reinforcement learning which ...
read it

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...
read it

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...
read it

Reinforcement Learning and Nonparametric Detection of GameTheoretic Equilibrium Play in Social Networks
This paper studies two important signal processing aspects of equilibriu...
read it

Intent Inference and Syntactic Tracking with GMTI Measurements
In conventional target tracking systems, human operators use the estimat...
read it
Vikram Krishnamurthy
is this you? claim profile