publications

Below is a list of my journal and conference publications and preprints in reverse chronological order. You can also check out my Google Scholar profile.

2023

  1. The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation
    Georgy Noarov, and Aaron Roth
    ArXiv 2023
  2. Batch Multivalid Conformal Prediction
    Christopher Jung, Georgy Noarov, Ramya Ramalingam, and Aaron Roth
    11th International Conference on Learning Representations (ICLR) 2023

2022

  1. Practical Adversarial Multivalid Conformal Prediction
    Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, and Aaron Roth
    36th Conference on Neural Information Processing Systems (NeurIPS) 2022
    Selected as an Oral Presentation
  2. Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
    Daniel Lee, Georgy Noarov, Mallesh M. Pai, and Aaron Roth
    36th Conference on Neural Information Processing Systems (NeurIPS) 2022
    Selected as an Oral Presentation
  3. Online Multivalid Learning: Means, Moments, and Prediction Intervals
    Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, and Aaron Roth
    13th Conference on Innovations in Theoretical Computer Science (ITCS) 2022
  4. Computing Approximate Equilibria in Weighted Congestion Games via Best-Responses
    Yiannis Giannakopoulos, Georgy Noarov, and Andreas S. Schulz
    Mathematics of Operations Research 2022

2021

  1. Binary Scoring Rules that Incentivize Precision
    Eric Neyman, Georgy Noarov, and S. Matthew Weinberg
    22nd ACM Conference on Economics and Computation (EC) 2021

2019

  1. AI Education Matters: Building a Fake News Detector
    Michael Guerzhoy, Lisa Zhang, and Georgy Noarov
    AI Matters 2019