Diego Martinez-Taboada

According to our database, Diego Martinez-Taboada authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity.

Diego Martinez-Taboada, Tomás González Lara, Aaditya Ramdas

CoRR, November, 2025

Sequential Kernelized Stein Discrepancy.

Diego Martinez-Taboada, Aaditya Ramdas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Counterfactual Density Estimation using Kernel Stein Discrepancies.

Diego Martinez-Taboada, Edward Kennedy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An Efficient Doubly-Robust Test for the Kernel Treatment Effect.

Diego Martinez-Taboada, Aaditya Ramdas, Edward Kennedy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation.

Diego Martinez-Taboada, Dino Sejdinovic

CoRR, 2022

Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings.

Diego Martinez-Taboada, Dino Sejdinovic

CoRR, 2022