← Authors

Jieming Mao

13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (19) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (13)

Conferences

NIPS (6) COLT (3) ICML (3) ICLR (1)

Top co-authors

Vahab Mirrokni (5) Song Zuo (3) Matthew Joseph (3) Alessandro Epasto (3) Yuan Deng (3) Jon Schneider (2) Peilin Zhong (2) Mark Braverman (2) Hanrui Zhang (2) Rachel Cummings (1)

Research topics

Differential Privacy (2)

Keywords

differential privacy (4) regret bound (2) price of anarchy (2) local privacy (2) first-price auction (2) sample complexity (2) mechanism design (1) mean estimation (1) online learning (1) linear regression (1) rank aggregation (1) incentive mechanism (1) contextual pricing (1) multi-armed bandit (1) top-k retrieval (1) revenue optimization (1) adaptive algorithm (1) nash equilibrium (1) pairwise comparison (1) empirical risk minimization (1)

Papers

Retraining with Predicted Hard Labels Provably Increases Model Accuracy ICML 2025
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model ICML 2025
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency NIPS 2024
Efficiency of the First-Price Auction in the Autobidding World NIPS 2024
Shuffle Private Stochastic Convex Optimization ICLR 2022
Robust Auction Design in the Auto-bidding World NIPS 2021
Smoothly Bounding User Contributions in Differential Privacy NIPS 2020
Pan-Private Uniformity Testing COLT 2020
Sorted Top-k in Rounds COLT 2019
Locally Private Gaussian Estimation NIPS 2019
Multi-armed Bandit Problems with Strategic Arms COLT 2019
Differentially Private Fair Learning ICML 2019
Contextual Pricing for Lipschitz Buyers NIPS 2018