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cs.LG2026
The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory
Luoxi Tang, Rupali Rajendra Vaje, Yuqiao Meng +5
Agentic memory enables LLMs to persist information beyond a single context window and reuse it in later decisions, but it also introduces a new vulnerability: spurious correlations…
cs.LG2026
Scalable Learning of Multivariate Distributions via Coresets
Zeyu Ding, Katja Ickstadt, Nadja Klein +2
Efficient and scalable non-parametric or semi-parametric regression analysis and density estimation are of crucial importance to the fields of statistics and machine learning. Howe…