Conformal Off-Policy Prediction in Contextual Bandits. - Muhammad Faaiz Taufiq; Jean-Francois Ton; Rob Cornish; Yee Whye Teh; Arnaud Doucet (NeurIPS, 2022)

Conformal Off-Policy Prediction in Contextual Bandits. - Muhammad Faaiz Taufiq; Jean-Francois Ton; Robert Cornish; Yee Whye Teh; Arnaud Doucet (CoRR, 2022)

Manifold Restricted Interventional Shapley Values. - Muhammad Faaiz Taufiq; Patrick Blöbaum; Lenon Minorics (AISTATS, 2023)

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits. - Muhammad Faaiz Taufiq; Arnaud Doucet; Rob Cornish; Jean-Francois Ton (NeurIPS, 2023)

Causal Falsification of Digital Twins. - Rob Cornish; Muhammad Faaiz Taufiq; Arnaud Doucet; Chris C. Holmes (CoRR, 2023)

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. - Yang Liu 018; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq; Hang Li 001 (CoRR, 2023)

Achievable Fairness on Your Data With Utility Guarantees. - Muhammad Faaiz Taufiq; Jean-Francois Ton; Yang Liu 018 (NeurIPS, 2024)

Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees. - Muhammad Faaiz Taufiq; Jean-Francois Ton; Yang Liu 018 (CoRR, 2024)

Understanding Chain-of-Thought in LLMs through Information Theory. - Jean-Francois Ton; Muhammad Faaiz Taufiq; Yang Liu 018 (CoRR, 2024)

Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making. - Muhammad Faaiz Taufiq (CoRR, 2025)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs. - Andrew Estornell; Jean-Francois Ton; Muhammad Faaiz Taufiq; Hang Li 001 (CoRR, 2025)