Shreyas Kadekodi

About

I am a PhD student in Computer Science at UC San Diego working with Berk Ustun. My research lies in machine learning, recommender systems, and computational social choice.

Previously, I worked with Robin Burke at That Recommender Systems Lab (University of Colorado, Boulder) on fairness in recommender systems. I also worked with Alessandro Roncone at the HIRO Group.

Research

I work on methods for aggregating preferences and producing rankings when human judgments are noisy, incomplete, or disagree. I’m particularly interested in settings where the model should expose disagreement rather than silently break ties.

• Preference aggregation under heterogeneity: partial orders / abstention mechanisms that avoid arbitrary decisions.
• Robustness and transparency: guarantees that the output never contradicts majority-supported comparisons.
• Applications: collective decision-making, recommendation, and human-feedback-based evaluation pipelines.

Selected publication

• ICML 2025

  
  Selective Preference Aggregation
  Shreyas Kadekodi, Hayden McTavish, Berk Ustun
  International Conference on Machine Learning (ICML), 2025
  

  Paper PDF Code

  TL;DR: rankings that only reflect what raters actually support.

Other publications

• IROS 2023

  
  CAT-RRT: Motion Planning that Admits Contact One Link at a Time
  Nataliya Nechyporenko, Caleb Escobedo, Shreyas Kadekodi, Alessandro Roncone
  IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023
  

  Paper (arXiv)
• IROS 2022

  
  A Framework for the Systematic Evaluation of Obstacle Avoidance and Object-Aware Controllers
  Caleb Escobedo, Nataliya Nechyporenko, Shreyas Kadekodi, Alessandro Roncone
  IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
  

  Paper
• CIKM 2021

  
  Librec-auto: A tool for recommender systems experimentation
  Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
  ACM International Conference on Information and Knowledge Management, 2021
  

  Paper (ACM DL)

Contact

Best way to reach me: skadekodi [at] ucsd [dot] edu.