Engelhardt, Barbara

8 publications

NeurIPS 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy

NeurIPSW 2023 Inverse Reinforcement Learning with Multiple Planning Horizons Jiayu Yao, Finale Doshi-Velez, Barbara Engelhardt

AISTATS 2022 Variance Minimization in the Wasserstein Space for Invariant Causal Prediction Guillaume G. Martinet, Alexander Strzalkowski, Barbara Engelhardt

AISTATS 2021 Latent Variable Modeling with Random Features Gregory Gundersen, Michael Zhang, Barbara Engelhardt

AISTATS 2020 Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara Engelhardt

NeurIPS 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits Bianca Dumitrascu, Karen Feng, Barbara Engelhardt

ICML 2016 Hierarchical Compound Poisson Factorization Mehmet Basbug, Barbara Engelhardt

IJCAI 2003 Factored Planning Eyal Amir, Barbara Engelhardt