Isaac Lage - RankMe

16 papers A* 2A 2B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Integrating Complementary Feature Sets for Human-AI Decision-Making. IUI Isaac Lage, Benjamin Wintersteen
2025	—	`conf`	User Studies in Human-Feature-Integration. IUI Workshops Yixin Li, Lucas Lefebvre, Sonali Parbhoo, Finale Doshi-Velez, Isaac Lage
2024	J	`jnl`	Towards Integrating Personal Knowledge into Test-Time Predictions. CoRR Isaac Lage, Sonali Parbhoo, Finale Doshi-Velez
2023	J	`jnl`	When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. Trans. Mach. Learn. Res. Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
2022	J	`jnl`	(When) Are Contrastive Explanations of Reinforcement Learning Helpful? CoRR Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez
2021	J	`jnl`	Promises and Pitfalls of Black-Box Concept Learning Models. CoRR Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan
2020	J	`jnl`	Learning Interpretable Concept-Based Models with Human Feedback. CoRR Isaac Lage, Finale Doshi-Velez
2020	J	`jnl`	When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. CoRR Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
2019	J	`jnl`	An Evaluation of the Human-Interpretability of Explanation. CoRR Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez
2019	A*	`conf`	Exploring Computational User Models for Agent Policy Summarization. IJCAI Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir
2019	J	`jnl`	Exploring Computational User Models for Agent Policy Summarization. CoRR Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir
2019	B	`conf`	Human Evaluation of Models Built for Interpretability. HCOMP Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez
2019	A	`conf`	Toward Robust Policy Summarization. AAMAS Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir
2018	J	`jnl`	Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR 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
2018	A*	`conf`	Human-in-the-Loop Interpretability Prior. NeurIPS Isaac Lage, Andrew Slavin Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez
2018	J	`jnl`	Human-in-the-Loop Interpretability Prior. CoRR Isaac Lage, Andrew Slavin Ross, Been Kim, Samuel J. Gershman, Finale Doshi-Velez