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Conferences
Pasin Manurangsi
Google, Mountain View, CA, USA
19 papers at tracked venues · 10 at CORE A* · active 2024–2026
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ORCID 0000-0002-1052-2801 ↗
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Venues
COLT
×4
IJCAI
×4
NeurIPS
×3
AAAI
×2
ICLR
×2
ICML
×2
AISTATS
×1
WWW
×1
Frequent coauthors
Badih Ghazi
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×9
Lynn Chua
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×3
Paul Gölz
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×1
Quentin Hillebrand
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×1
Ayumi Igarashi
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×1
Yangsibo Huang
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×1
Papers
Fair Allocation of Indivisible Goods with Variable Groups
AAAI 2026
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Paul Gölz
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Fixed-Parameter Tractability of Private Synthetic Data Generation
COLT 2026
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Badih Ghazi
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Improved Differentially Private Algorithms for Rank Aggregation
AAAI 2026
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Quentin Hillebrand
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Nearly Linear-Time User-Level DP-SCO with Optimal Rates
COLT 2026
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Badih Ghazi
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Asymptotic Analysis of Weighted Fair Division
IJCAI 2025
·
Pasin Manurangsi
Asymptotic Fair Division: Chores Are Easier Than Goods
IJCAI 2025
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Pasin Manurangsi
Balls-and-Bins Sampling for DP-SGD
AISTATS 2025
·
Lynn Chua
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Dividing Conflicting Items Fairly
IJCAI 2025
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Ayumi Igarashi
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PREM: Privately Answering Statistical Queries with Relative Error
COLT 2025
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Badih Ghazi
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Private Hyperparameter Tuning with Ex-Post Guarantee
NeurIPS 2025
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Badih Ghazi
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Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
ICLR 2025
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Yangsibo Huang
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Differentially Private Optimization with Sparse Gradients
NeurIPS 2024
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Badih Ghazi
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How Private are DP-SGD Implementations?
ICML 2024
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Lynn Chua
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Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
ICML 2024
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Badih Ghazi
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LabelDP-Pro: Learning with Label Differential Privacy via Projections
ICLR 2024
·
Badih Ghazi
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On Convex Optimization with Semi-Sensitive Features
COLT 2024
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Badih Ghazi
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Ordinal Maximin Guarantees for Group Fair Division
IJCAI 2024
·
Pasin Manurangsi
Privacy in Web Advertising: Analytics and Modeling
WWW 2024
·
Badih Ghazi
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Scalable DP-SGD: Shuffling vs. Poisson Subsampling
NeurIPS 2024
·
Lynn Chua
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