Summary of Towards Safer Heuristics with Xplain, by Pantea Karimi et al.
Towards Safer Heuristics With XPlain
by Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani
First submitted to arxiv on: 19 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI); Performance (cs.PF)
GrooveSquid.com Paper Summaries
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper explores efficient solutions for cloud operators by analyzing the performance of heuristic algorithms. Heuristic analyzers can identify when heuristics underperform, but current tools lack detail and explanation, making it difficult to mitigate their impact in practice. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Cloud operators use fast heuristic algorithms to solve problems efficiently, but these methods can sometimes underperform. The authors developed a tool that helps find instances where heuristics don’t work well, but it only shows one example at a time and doesn’t explain why it happens. |
