Modular Conformal Calibration. - Charles Marx; Shengjia Zhao; Willie Neiswanger; Stefano Ermon (ICML, 2022)

But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. - Charles Marx; Youngsuk Park; Hilaf Hasson; Yuyang Wang 001; Stefano Ermon; Luke Huan (AISTATS, 2023)

Calibration by Distribution Matching: Trainable Kernel Calibration Metrics. - Charles Marx; Sofian Zalouk; Stefano Ermon (CoRR, 2023)

Online Calibrated and Conformal Prediction Improves Bayesian Optimization. - Shachi Deshpande; Charles Marx; Volodymyr Kuleshov (AISTATS, 2024)

Calibrated Regression Against An Adversary Without Regret. - Shachi Deshpande; Charles Marx; Volodymyr Kuleshov (UAI, 2025)

Calibrated Probabilistic Forecasts for Arbitrary Sequences. - Charles Marx; Volodymyr Kuleshov; Stefano Ermon (Trans. Mach. Learn. Res., 2025)

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF. - Syrine Belakaria; Joshua Kazdan; Charles Marx; Chris Cundy; Willie Neiswanger; Sanmi Koyejo; Barbara E. Engelhardt; Stefano Ermon (CoRR, 2025)