14 citations · 31 across the 30 of their papers we have counts for
4 papers · 1 filter
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…
Lightweight reranking for language model generations
Siddhartha Jain, Xiaofei Ma, Anoop Deoras +1
Large Language Models (LLMs) can exhibit considerable variation in the quality of their sampled outputs. Reranking and selecting the best generation from the sampled set is a popul…
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
Anusha Lalitha, Kousha Kalantari, Yifei Ma +2
We study the problem of best-arm identification (BAI) in the fixed-budget setting with heterogeneous reward variances. We propose two variance-adaptive BAI algorithms for this sett…
Personalized Federated Domain Adaptation for Item-to-Item Recommendation
Ziwei Fan, Hao Ding, Anoop Deoras +1
Item-to-Item (I2I) recommendation is an important function in most recommendation systems, which generates replacement or complement suggestions for a particular item based on its…