← Authors

Yi Hao

14 papers · 2017–2022 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (30) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸš€ Conference Pioneer πŸ’Ž Century Club (14) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (66) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

NIPS (8) ICML (4) AAAI (1) COLT (1)

Top co-authors

Alon Orlitsky (11) Vaishakh Ravindrakumar (3) Ayush Jain (2) Venkatadheeraj Pichapati (2) Ping Li (2) Moein Falahatgar (1) Ananda Theertha Suresh (1) Xinbo Gao (1) Yihong Wu (1) Nannan Wang (1)

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