PPaperPicks

Pasin Manurangsi

Google, Mountain View, CA, USA

19 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Fair Allocation of Indivisible Goods with Variable Groups
  2. Fixed-Parameter Tractability of Private Synthetic Data Generation
  3. Improved Differentially Private Algorithms for Rank Aggregation
  4. Nearly Linear-Time User-Level DP-SCO with Optimal Rates
  5. Asymptotic Analysis of Weighted Fair Division
    IJCAI 2025 · Pasin Manurangsi
  6. Asymptotic Fair Division: Chores Are Easier Than Goods
    IJCAI 2025 · Pasin Manurangsi
  7. Balls-and-Bins Sampling for DP-SGD
  8. Dividing Conflicting Items Fairly
  9. PREM: Privately Answering Statistical Queries with Relative Error
  10. Private Hyperparameter Tuning with Ex-Post Guarantee
  11. Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
  12. Differentially Private Optimization with Sparse Gradients
  13. How Private are DP-SGD Implementations?
  14. Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
  15. LabelDP-Pro: Learning with Label Differential Privacy via Projections
  16. On Convex Optimization with Semi-Sensitive Features
  17. Ordinal Maximin Guarantees for Group Fair Division
    IJCAI 2024 · Pasin Manurangsi
  18. Privacy in Web Advertising: Analytics and Modeling
  19. Scalable DP-SGD: Shuffling vs. Poisson Subsampling