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cs.LG2023
Faster Recalibration of an Online Predictor via Approachability
Princewill Okoroafor, Robert Kleinberg, Wen Sun
Predictive models in ML need to be trustworthy and reliable, which often at the very least means outputting calibrated probabilities. This can be particularly difficult to guarante…
cs.IR2023
Representation Learning in Low-rank Slate-based Recommender Systems
Yijia Dai, Wen Sun
Reinforcement learning (RL) in recommendation systems offers the potential to optimize recommendations for long-term user engagement. However, the environment often involves large…