No-Regret Mixing of LRU and LFU with Optimal Switching Cost
Caching systems often rely on simple eviction policies such as Least Recently Used (LRU) and Least Frequently Used (LFU), which perform well in complementary request regimes. Recent policies such as LeCar and Cacheus combine LRU and LFU using ideas from the experts problem in online learning. Specifically, upon a miss, they randomize between the two eviction rules using probabilities derived from scores updated by tracking the history of past evictions. While these policies exhibit strong empirical performance, it remains unclear whether they are guaranteed, on every request sequence, to perform asymptotically as well as the better of LRU and LFU, i.e., whether they achieve sublinear regr...
| Authors | Younes Ben Mazziane, Xinying Zou |
|---|---|
| Primary category | cs.LG |
| Published | 7 September 2026 |
| Last updated at source | 28 September 2026 |
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