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03/22/2023
Reinforcement Learning with Exogenous States and Rewards
Exogenous state variables and rewards can slow reinforcement learning by...
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11/29/2022
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target
As an autonomous system performs a task, it should maintain a calibrated...
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09/22/2022
Oracle Analysis of Representations for Deep Open Set Detection
The problem of detecting a novel class at run time is known as Open Set ...
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06/10/2022
Conformal Prediction Intervals for Markov Decision Process Trajectories
Before delegating a task to an autonomous system, a human operator may w...
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03/04/2022
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods
In many object recognition applications, the set of possible categories ...
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02/03/2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration
Trustworthy classifiers are essential to the adoption of machine learnin...
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05/01/2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds
We consider the problem of modeling the dynamics of continuous spatial-t...
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12/31/2020
Three-quarter Sibling Regression for Denoising Observational Data
Many ecological studies and conservation policies are based on field obs...
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09/24/2020
A Unifying Review of Deep and Shallow Anomaly Detection
Deep learning approaches to anomaly detection have recently improved the...
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12/11/2018
Deep Anomaly Detection with Outlier Exposure
It is important to detect and handle anomalous inputs when deploying mac...
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11/27/2018
Robust Artificial Intelligence and Robust Human Organizations
Every AI system is deployed by a human organization. In high risk applic...
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09/11/2018
Learning Scripts as Hidden Markov Models
Scripts have been proposed to model the stereotypical event sequences fo...
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09/05/2018
Anomaly Detection in the Presence of Missing Values
Standard methods for anomaly detection assume that all features are obse...
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08/01/2018
Open Category Detection with PAC Guarantees
Open category detection is the problem of detecting "alien" test instanc...
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07/04/2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
In this paper we establish rigorous benchmarks for image classifier robu...
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06/05/2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
Exogenous state variables and rewards can slow down reinforcement learni...
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08/30/2017
Incorporating Feedback into Tree-based Anomaly Detection
Anomaly detectors are often used to produce a ranked list of statistical...
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03/28/2017
Fast Optimization of Wildfire Suppression Policies with SMAC
Managers of US National Forests must decide what policy to apply for dea...
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03/28/2017
Factoring Exogenous State for Model-Free Monte Carlo
Policy analysts wish to visualize a range of policies for large simulato...
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02/28/2015
Sequential Feature Explanations for Anomaly Detection
In many applications, an anomaly detection system presents the most anom...
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05/20/2014
Gaussian Approximation of Collective Graphical Models
The Collective Graphical Model (CGM) models a population of independent ...
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10/16/2012
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games
In typical real-time strategy (RTS) games, enemy units are visible only ...
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10/16/2012
Active Imitation Learning via Reduction to I.I.D. Active Learning
In standard passive imitation learning, the goal is to learn a target po...
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07/04/2012
