Statistical Inference & Learning

Population-Level Generative Modeling for Ranking Data

Zhaoyang Shi.

Preprint · 2026

Optimal Demixing of Nonparametric Densities

Jianqing Fan, Zheng Tracy Ke and Zhaoyang Shi. (alphabetical order)

Preprint · 2026

Multivariate Gaussian Approximation for Random Forest via Region-based Stabilization

Zhaoyang Shi, Chinmoy Bhattacharjee, Krishna Balasubramanian and Wolfgang Polonik.

Annals of Applied Probability · Under revision, 2026

Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators

Zhaoyang Shi, Chinmoy Bhattacharjee, Krishna Balasubramanian and Wolfgang Polonik.

Annals of Statistics · 2026

Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps

Zhaoyang Shi, Krishna Balasubramanian and Wolfgang Polonik.

UAI · 2025

Adaptive and Non-adaptive Minimax Rates for Weighted Laplacian-Eigenmap Based Nonparametric Regression

Zhaoyang Shi, Krishna Balasubramanian and Wolfgang Polonik.

AISTATS · 2024

A Flexible Approach for Normal Approximation of Geometric and Topological Statistics

Zhaoyang Shi, Krishna Balasubramanian and Wolfgang Polonik.

Bernoulli · 2024

Foundations of Generative AI

Dense Associative Memory with Epanechnikov Energy

Benjamin Hoover, Zhaoyang Shi, Krishna Balasubramanian, Dmitry Krotov and Parikshit Ram.

NeurIPS · Spotlight (Top 3%), 2025

Data Science & Decision Making

Population-Level Generative Modeling for Ranking Data

Zhaoyang Shi.

Preprint · 2026

Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration

Zhaoyang Shi.

Preprint · 2026

Dense Associative Memory with Epanechnikov Energy

Benjamin Hoover, Zhaoyang Shi, Krishna Balasubramanian, Dmitry Krotov and Parikshit Ram.

NeurIPS · Spotlight (Top 3%), 2025

The Analysis of Features Importance in Electrical Infrared Images Faults Diagnosis

Qi Zhao, Lei Su, Zhaoyang Shi, Ping Ling, Nannan Yan, Chunjie Gu and Zhixiong Shi.

ACM · 2018

Under Preparation