Dung Daniel T. Ngo

According to our database, Dung Daniel T. Ngo authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration.

Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu

Trans. Mach. Learn. Res., 2026

2025

Toward Breaking Watermarks in Distortion-free Large Language Models.

Shayleen Reynolds, Saheed Obitayo, Niccolò Dalmasso, Dung Daniel T. Ngo, Vamsi K. Potluru, Manuela Veloso

CoRR, February, 2025

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles.

Hongyi Henry Jin, Zijun Ding, Dung Daniel T. Ngo, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reconciling Model Multiplicity for Downstream Decision Making.

Ally Yalei Du, Dung Daniel T. Ngo, Zhiwei Steven Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Adaptive and Robust Watermark for Generative Tabular Data.

Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso

CoRR, 2024

2023

Federated Learning as a Network Effects Game.

Shengyuan Hu, Dung Daniel T. Ngo, Shuran Zheng, Virginia Smith, Zhiwei Steven Wu

CoRR, 2023

2022

Incentivizing Combinatorial Bandit Exploration.

Xinyan Hu, Dung Daniel T. Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Regret for Differentially Private Exploration in Linear MDP.

Dung Daniel T. Ngo, Giuseppe Vietri, Steven Wu

Proceedings of the International Conference on Machine Learning, 2022

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.

Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

Incentivizing Compliance with Algorithmic Instruments.

Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Steven Wu

Proceedings of the 38th International Conference on Machine Learning, 2021