MetaOpt heading

MetaOpt

Towards efficient heuristic design where we achieve quantifiable and confident performance

We use heuristics all the time across many systems including those that are critical to production services. Production systems use heuristics because they are faster or scale better than their optimal counterparts. But practitioners often don’t know the performance gap between the heuristic and the optimal, or another heuristic in realistic scenarios. We present MetaOpt, a system that helps analyze heuristics.

人员

Behnaz Arzani的肖像

Behnaz Arzani

Principal Researcher

Ryan Beckett的肖像

Ryan Beckett

Principal Researcher

Siva Kesava Reddy Kakarla的肖像

Siva Kesava Reddy Kakarla

Senior Researcher

Pooria Namyar的肖像

Pooria Namyar

Student

University of Southern California

Solal Pirelli的肖像

Solal Pirelli

Research Intern

EPFL

Santiago Segarra的肖像

Santiago Segarra

Assistant Professor

Rice University