Yi Hao
14 papers · 2017–2022 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(11)
π
Keyword Champion
(4)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(68)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(13)
Mathematics & Optimization
(11)
Mathematics
(10)
Core Methods
(6)
Optimization
(4)
Probability
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Analysis
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Statistics
(1)
Keywords
distribution estimation
(8)
sample complexity
(7)
property estimation
(4)
statistical estimation
(3)
statistical learning
(3)
density estimation
(2)
plug-in estimator
(2)
shannon entropy
(2)
distribution learning
(2)
maximum likelihood
(1)
person re-identification
(1)
pac learning
(1)
metric learning
(1)
differential privacy
(1)
minimax optimality
(1)
linear estimators
(1)
sample efficiency
(1)
robust estimation
(1)
stochastic process
(1)
kl divergence
(1)
Papers
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
ICML 2022
Compressed Maximum Likelihood
ICML 2021
Bessel Smoothing and Multi-Distribution Property Estimation
COLT 2020
Data Amplification: Instance-Optimal Property Estimation
ICML 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity
NeurIPS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NeurIPS 2020
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
NeurIPS 2020
Doubly-Competitive Distribution Estimation
ICML 2019
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
AAAI 2019
The Broad Optimality of Profile Maximum Likelihood
NeurIPS 2019
Unified Sample-Optimal Property Estimation in Near-Linear Time
NeurIPS 2019
Data Amplification: A Unified and Competitive Approach to Property Estimation
NeurIPS 2018
On Learning Markov Chains
NeurIPS 2018
Maxing and Ranking with Few Assumptions
NeurIPS 2017