Joshua Lockhart

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

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

Joshua Lockhart, Daniele Magazzeni, Manuela Veloso

CoRR, 2022

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

Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso

CoRR, 2022

Feature Importance for Time Series Data: Improving KernelSHAP.

Mattia Jacopo Villani, Joshua Lockhart, Daniele Magazzeni

CoRR, 2022

Reductive MDPs: A Perspective Beyond Temporal Horizons.

Thomas Spooner, Rui Silva, Joshua Lockhart, Jason Long, Vacslav Glukhov

CoRR, 2022

2021

Asynchronous collaborative learning across data silos.

Tiffany Tuor, Joshua Lockhart, Daniele Magazzeni

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.

Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso

CoRR, 2020

SURF: improving classifiers in production by learning from busy and noisy end users.

Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

Combinatorial structures in quantum information.

Joshua Lockhart

PhD thesis, 2019

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

Tucker Hybinette Balch, Mahmoud Mahfouz, Joshua Lockhart, Maria Hybinette, David Byrd

CoRR, 2019

2018

The Computational Complexity of Portal and Other 3D Video Games.

Erik D. Demaine, Joshua Lockhart, Jayson Lynch

Proceedings of the 9th International Conference on Fun with Algorithms, 2018

2017

Combinatorial entanglement: detecting entanglement in quantum states using grid-labelled graphs.

Joshua Lockhart, Otfried Gühne, Simone Severini

Electron. Notes Discret. Math., 2017

2016

Edge Centrality via the Holevo Quantity.

Joshua Lockhart, Giorgia Minello, Luca Rossi, Simone Severini, Andrea Torsello

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016