Nghia Hoang

According to our database, Nghia Hoang authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Pre-trained Recommender Systems: A Causal Debiasing Perspective.

Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang

CoRR, 2023

Incentives in Private Collaborative Machine Learning.

Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet

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

2020

Verifiably Safe Exploration for End-to-End Reinforcement Learning.

Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama

CoRR, 2020

Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges.

Nathan Fulton, Nathan Hunt, Nghia Hoang, Subhro Das

CoRR, 2020

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes.

Quang Minh Hoang, Nghia Hoang, Hai Pham, David P. Woodruff

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.

Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019