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

25 Updated May 1, 2026

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…

Shell 24 2 Updated May 6, 2026

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

Jupyter Notebook 2 1 Updated Jun 14, 2025
Python 5 Updated Apr 22, 2026
Python 4 Updated Apr 9, 2026

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

Python 3 1 Updated Apr 3, 2026
PowerShell 9 2 Updated Mar 19, 2026

[JASA] Sequential Knockoffs for Variable Selection in Reinforcement Learning

Python 3 Updated Jan 3, 2026
Python 9 Updated Aug 1, 2025

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

Python 101 9 Updated Jan 13, 2026

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…

785 84 Updated Mar 27, 2025

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

Python 73 6 Updated Dec 5, 2025
Python 5 1 Updated Apr 17, 2026
Jupyter Notebook 2 Updated Nov 16, 2025
Python 14 5 Updated May 21, 2025

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

R 5 Updated Jun 23, 2025

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

Python 2 Updated May 26, 2025
Python 8 1 Updated Mar 27, 2025

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

Python 6 1 Updated Mar 10, 2025
Python 5 1 Updated Dec 19, 2024

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

Python 4 1 Updated Apr 9, 2026
R 4 Updated Nov 9, 2024
R 1 Updated May 10, 2024

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

Python 2 Updated Mar 21, 2025

Config files for my GitHub profile.

1 Updated Feb 3, 2025

Public repository for the dynamic noise inference method paper

MATLAB 2 1 Updated Mar 17, 2025
Python 2 2 Updated Feb 2, 2024

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards

Python 4 1 Updated Aug 2, 2024
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