Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves

10 October 2020

Papers citing "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves"

8 / 8 papers shown

Title
Moments of Causal Effects Yuta Kawakami Jin Tian CML 46 0 0 08 May 2025
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 29 1 0 18 Oct 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 31 0 0 29 Sep 2024
An Efficient Doubly-Robust Test for the Kernel Treatment Effect Diego Martinez-Taboada Aaditya Ramdas Edward H. Kennedy OOD 23 5 0 26 Apr 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 14 10 0 16 Jan 2023
Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 23 11 0 28 Sep 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu A. Gretton 32 3 0 06 Nov 2021