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cs.LG2026
Prediction Under Imperfect Compression: A Theory of Approximate MDL
Qian Li, Xinyu Mao, Shang-Hua Teng +1
Minimum Description Length (MDL) formalizes the principle of Occam's razor by optimizing the total description length: . Fo…
cs.LG2021
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic
Weicong Ding, Hanlin Tang, Jingshuo Feng +17
Real-world recommendation systems often consist of two phases. In the first phase, multiple predictive models produce the probability of different immediate user actions. In the se…