Isaac Lage

According to our database, Isaac Lage authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Towards Integrating Personal Knowledge into Test-Time Predictions.

Isaac Lage, Sonali Parbhoo, Finale Doshi-Velez

CoRR, 2024

2023

When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.

Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju

Trans. Mach. Learn. Res., 2023

2022

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?

Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez

CoRR, 2022

2021

Promises and Pitfalls of Black-Box Concept Learning Models.

Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan

CoRR, 2021

2020

Learning Interpretable Concept-Based Models with Human Feedback.

Isaac Lage, Finale Doshi-Velez

CoRR, 2020

2019

An Evaluation of the Human-Interpretability of Explanation.

Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez

CoRR, 2019

Exploring Computational User Models for Agent Policy Summarization.

Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Human Evaluation of Models Built for Interpretability.

Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Toward Robust Policy Summarization.

Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Evaluating Reinforcement Learning Algorithms in Observational Health Settings.

Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez

CoRR, 2018

Human-in-the-Loop Interpretability Prior.

Isaac Lage, Andrew Slavin Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018