{"id":267,"date":"2020-07-30T22:34:37","date_gmt":"2020-07-30T22:34:37","guid":{"rendered":"https:\/\/dtngo.com\/\/?page_id=267"},"modified":"2023-03-07T21:08:41","modified_gmt":"2023-03-07T21:08:41","slug":"home-page","status":"publish","type":"page","link":"https:\/\/dtngo.com\/","title":{"rendered":"Daniel Ngo"},"content":{"rendered":"\n
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I am a fourth-year Ph.D. student at the University of Minnesota<\/a>, co-advised by Professors Steven Wu<\/a> and Maria Gini<\/a>. I’m currently visiting Carnegie Mellon University<\/a> at Software and Societal Systems Department<\/a>.

I am interested in machine learning and mechanism design, especially in incentivizing explorations. My current work focuses on bandit algorithms, differential privacy, federated learning, and strategic learning. <\/p>\n\n\n\n

I received a B.S in Computer Science and Mathematics from Dickinson College<\/a>, where I worked on a Genetic Algorithm honor project with Professor Grant Braught<\/a>.

I am happy to talk about bandit algorithms and incentivizing explorations. Feel free to contact me at ngo00054 [at] umn.edu<\/p>\n<\/div><\/div>\n\n\n\n

Research<\/strong><\/p>\n\n\n\n

Federated Learning as a Network Effects Game<\/strong> [arxiv<\/a>]
Shengyuan Hu, Daniel Ngo<\/em>, Shuran Zheng, Virginia Smith, Zhiwei Steven Wu<\/p>\n\n\n\n

Incentivizing Combinatorial Bandit Exploration<\/strong> [arxiv<\/a>]
Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
Xinyan Hu, Daniel Ngo<\/em>, Aleksandrs Slivkins, Zhiwei Steven Wu<\/p>\n\n\n\n

Improved Regret for Differentially Private Exploration in Linear MDP<\/strong> [arxiv<\/a>]
Proceedings of the Thirty-ninth International Conference on Machine Learning (ICML 2022)
Daniel Ngo<\/em>,\u00a0Giuseppe Vietri,\u00a0Zhiwei Steven Wu<\/p>\n\n\n\n

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses<\/strong> [arxiv<\/a>]
Proceedings of the Thirty-ninth International Conference on Machine Learning (ICML 2022)
Keegan Harris,\u00a0Daniel Ngo<\/em>,\u00a0Logan Stapleton,\u00a0Hoda Heidari,\u00a0Zhiwei Steven Wu<\/p>\n\n\n\n

Incentivizing Compliance with Algorithmic Instruments<\/strong> [arxiv<\/a>]
Proceedings of the Thirty-eighth International Conference on Machine Learning (ICML 2021)
Daniel Ngo<\/em>,\u00a0Logan Stapleton, Vasilis Syrgkanis, Zhiwei Steven Wu <\/p>\n\n\n\n

Attentional autoencoder for weighted implicit collaborative filtering<\/strong>
Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems
Hoang-Vu Dang, Dung Ngo<\/em>
<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

I am a fourth-year Ph.D. student at the University of Minnesota, co-advised by Professors Steven Wu and Maria Gini. I’m currently visiting Carnegie Mellon University at Software and Societal Systems Department. I am interested in machine learning and mechanism design, especially in incentivizing explorations. My current work focuses on bandit algorithms, differential privacy, federated learning, … <\/p>\n

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