Yi Hao
14 papers · 2017–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (5) π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (30)
πΊοΈ
Taxonomy Completionist
(30)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Keyword Champion
(4)
π
Conference Pioneer
π
Century Club
(14)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(66)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
NIPS (8)
ICML (4)
AAAI (1)
COLT (1)
Top co-authors
Keywords
distribution estimation
(8)
sample complexity
(7)
property estimation
(4)
statistical learning
(3)
statistical estimation
(3)
density estimation
(2)
shannon entropy
(2)
distribution learning
(2)
maximum likelihood
(1)
pac learning
(1)
metric learning
(1)
person re-identification
(1)
differential privacy
(1)
minimax optimality
(1)
total variation
(1)
sample efficiency
(1)
linear estimators
(1)
robust estimation
(1)
kl divergence
(1)
stochastic process
(1)
Papers
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
ICML 2022
Compressed Maximum Likelihood
ICML 2021
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
NIPS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NIPS 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity
NIPS 2020
Bessel Smoothing and Multi-Distribution Property Estimation
COLT 2020
Data Amplification: Instance-Optimal Property Estimation
ICML 2020
Unified Sample-Optimal Property Estimation in Near-Linear Time
NIPS 2019
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
AAAI 2019
The Broad Optimality of Profile Maximum Likelihood
NIPS 2019
Doubly-Competitive Distribution Estimation
ICML 2019
Data Amplification: A Unified and Competitive Approach to Property Estimation
NIPS 2018
On Learning Markov Chains
NIPS 2018
Maxing and Ranking with Few Assumptions
NIPS 2017