Joshua Lockhart

Orcid: 0000-0003-0221-7564

According to our database1, Joshua Lockhart authored at least 12 papers between 2016 and 2022.

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Bibliography

2022
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions.
CoRR, 2022

Towards learning to explain with concept bottleneck models: mitigating information leakage.
CoRR, 2022

Feature Importance for Time Series Data: Improving KernelSHAP.
CoRR, 2022

Reductive MDPs: A Perspective Beyond Temporal Horizons.
CoRR, 2022

2021
Asynchronous collaborative learning across data silos.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users.
CoRR, 2020

SURF: improving classifiers in production by learning from busy and noisy end users.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
Combinatorial structures in quantum information.
PhD thesis, 2019

How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation?
CoRR, 2019

2018
The Computational Complexity of Portal and Other 3D Video Games.
Proceedings of the 9th International Conference on Fun with Algorithms, 2018

2017
Combinatorial entanglement: detecting entanglement in quantum states using grid-labelled graphs.
Electron. Notes Discret. Math., 2017

2016
Edge Centrality via the Holevo Quantity.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016


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