1 citations · 1 across the 1 of their papers we have counts for
3 papers
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong +1
Offline optimization has recently emerged as an increasingly popular approach to mitigate the prohibitively expensive cost of online experimentation. The key idea is to learn a sur…
Incentives in Private Collaborative Machine Learning
Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang +3
Collaborative machine learning involves training models on data from multiple parties but must incentivize their participation. Existing data valuation methods fairly value and rew…
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Ziqian Lin, Hao Ding, Nghia Trong Hoang +3
Recent studies on pre-trained vision/language models have demonstrated the practical benefit of a new, promising solution-building paradigm in AI where models can be pre-trained on…