Hao, Yi

14 publications

ICML 2022 TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

ICML 2021 Compressed Maximum Likelihood Yi Hao, Alon Orlitsky

COLT 2020 Bessel Smoothing and Multi-Distribution Property Estimation Yi Hao, Ping Li

ICML 2020 Data Amplification: Instance-Optimal Property Estimation Yi Hao, Alon Orlitsky

NeurIPS 2020 Optimal Prediction of the Number of Unseen Species with Multiplicity Yi Hao, Ping Li

NeurIPS 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions Yi Hao, Alon Orlitsky

NeurIPS 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

ICML 2019 Doubly-Competitive Distribution Estimation Yi Hao, Alon Orlitsky

AAAI 2019 HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification Yi Hao, Nannan Wang, Jie Li, Xinbo Gao

NeurIPS 2019 The Broad Optimality of Profile Maximum Likelihood Yi Hao, Alon Orlitsky

NeurIPS 2019 Unified Sample-Optimal Property Estimation in Near-Linear Time Yi Hao, Alon Orlitsky

NeurIPS 2018 Data Amplification: A Unified and Competitive Approach to Property Estimation Yi Hao, Alon Orlitsky, Ananda Theertha Suresh, Yihong Wu

NeurIPS 2018 On Learning Markov Chains Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati

NeurIPS 2017 Maxing and Ranking with Few Assumptions Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar