Charles Marx

According to our database, Charles Marx authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, March, 2025

Calibrated Probabilistic Forecasts for Arbitrary Sequences.

Charles Marx, Volodymyr Kuleshov, Stefano Ermon

Trans. Mach. Learn. Res., 2025

Calibrated Regression Against An Adversary Without Regret.

Shachi Deshpande, Charles Marx, Volodymyr Kuleshov

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Online Calibrated and Conformal Prediction Improves Bayesian Optimization.

Shachi Deshpande, Charles Marx, Volodymyr Kuleshov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Calibration by Distribution Matching: Trainable Kernel Calibration Metrics.

Charles Marx, Sofian Zalouk, Stefano Ermon

CoRR, 2023

But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI.

Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Modular Conformal Calibration.

Charles Marx, Shengjia Zhao, Willie Neiswanger, Stefano Ermon

Proceedings of the International Conference on Machine Learning, 2022