Luca D'Amico-Wong

According to our database, Luca D'Amico-Wong authored at least 5 papers between 2023 and 2024.

Collaborative distances:

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

2024

Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization.

Luca D'Amico-Wong, Hugh Zhang, Marc Lanctot, David C. Parkes

CoRR, 2024

Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract).

Luca D'Amico-Wong, Gary Qiurui Ma, David C. Parkes

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks.

Lukas Fesser, Richard Qiu, Luca D'Amico-Wong

CoRR, 2023

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers.

Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noise-Robust De-Duplication at Scale.

Emily Silcock, Luca D'Amico-Wong, Jinglin Yang, Melissa Dell

Proceedings of the Eleventh International Conference on Learning Representations, 2023