Implementation of “Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning”.

[STAI-X 2026] Segmenting Human-LLM Co-authored Text via Change Point Detection

Claude Code slash commands for proofreading LaTeX statistics papers — grammar review (phrasing, spelling, punctuation) and technical review (assumptions, logic, notation).

A toolkit for systematically checking proofs in statistics and ML-theory paper appendices using coding agents. Includes severity framework, phased parallel execution, auto-planning prompt, and a co…

This repository contains the code and implementation details for the manuscript "Doubly Robust Conditional Independence Testing with Generative Neural Networks."

[ICLR 2026] Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

[JASA] Sequential Knockoffs for Variable Selection in Reinforcement Learning

AutoSTAT is a user-friendly agent framework for end-to-end data analysis and interactive optimization.

Fin-R1 is a large language model for complex financial reasoning developed and open-sourced with the joint efforts of the SUFE-AIFLM-Lab at the School of Statistics and Data Science, Shanghai Unive…

[NeurIPS 2025] AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees

Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments (ICML 2025)

[ICML2025] Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

Implementation of "Multivariate Dynamic Mediation Analysis Under a Reinforcement Learning Framework"

Implementation for "Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments"

Implementation for the paper "Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences" in Python.

Config files for my GitHub profile.

Public repository for the dynamic noise inference method paper