Nghia Hoang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Top Venues

Publications

Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR (2023)
Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
Incentives in Private Collaborative Machine Learning. NeurIPS (2023)
Nathan Fulton, Nathan Hunt, Nghia Hoang, Subhro Das
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges. CoRR (2020)
Quang Minh Hoang, Nghia Hoang, Hai Pham, David P. Woodruff
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. NeurIPS (2020)
Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama
Verifiably Safe Exploration for End-to-End Reinforcement Learning. CoRR (2020)
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. ICCV (2019)
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. CoRR (2019)