From the 1 of 4 linked papers with an AI index.
4 papers
When Does More Correct Data Hurt? Insertion-Stability and the Limits of Dimension-Based Theory
Joseph Sankoorikal Johny
Adding data known to be correct ought to be safe. Not always. Larsen, Pabbaraju and Shetty model the failure with a monotone adversary, which reads an i.i.d. training sample and ma…
Impact of Expert-Following Strategies in Financial Asset Recommendation
Ryuki Unno, Koshi Watanabe, Keigo Sakurai +3
The paper introduces an expert-following strategy that recommends assets by identifying top-performing investors and using their ROI-weighted purchase frequency, achieving simultan…
Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making
Keigo Sakurai, Takahiro Ogawa, Miki Haseyama +2
Financial decision-making tasks such as stock recommendation and portfolio allocation typically estimate future return and risk and then select trades or allocations for an investo…
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
Keigo Sakurai, Ren Togo, Takahiro Ogawa +1
Knowledge Graphs (KGs) represent relationships between entities in a graph structure and have been widely studied as promising tools for realizing recommendations that consider the…