Jieming Mao
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Academic Marathon (7) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(19)
π₯
Unstoppable
(5)
π
Century Club
(13)
Conferences
NIPS (6)
COLT (3)
ICML (3)
ICLR (1)
Top co-authors
Research topics
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