At SaTML 2023, we recognize exceptional contributions to the field through Best Paper Awards and Notable Reviewer Awards. Congratulations to all recipients!

Best Paper Awards

Selected by the PC for their outstanding contributions to secure and trustworthy machine learning.

1. SoK: A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms

   Amanda Coston (Carnegie Mellon University, USA), Anna Kawakami (Carnegie Mellon University, USA), Haiyi Zhu (Carnegie Mellon University, USA), Ken Holstein (Carnegie Mellon University, USA), and Hoda Heidari (Carnegie Mellon University, USA)
   OpenReview
2. Optimal Data Acquisition with Privacy-Aware Agents

   Rachel Cummings (Columbia University), Hadi Elzayn (Stanford University), Emmanouil Pountourakis (Drexel University), Vasilis Gkatzelis (Drexel University), and Juba Ziani (Georgia Institute of Technology)
   OpenReview

Notable Reviewer Awards

We are grateful to all our PC members for their dedication and hard work. The following reviewers stood out for their exceptional engagement.