Diego Martinez Taboada

About Me

Your Name

I am a fourth-year PhD student in the Department of Statistics and Data Science at Carnegie Mellon University, where I am advised by Prof. Aaditya Ramdas. Previously, I completed an MSc in Statistical Science at the University of Oxford and a bachelor's degree in mathematics at the University of Santiago de Compostela.

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Education

Research

I am broadly interested in the theory and application of methodologies built on high-dimensional (and even infinite-dimensional!) spaces. In particular, I have recently been focusing on (the intersection of)

Related topics such as general nonparametric statistics, bandits, reinforcement learning, NTK or distributional metrics (f-divergences, IPMs, Wasserstein distances) will catch my eye!

Preprints

  1. Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
    Justin Whitehouse, Ben Chugg, Diego Martinez-Taboada, Aaditya Ramdas
    Under review.
  2. Empirical Bernstein in smooth Banach spaces
    Diego Martinez-Taboada, Aaditya Ramdas
    Under review.
  3. Sharp empirical Bernstein bounds for the variance of bounded random variables
    Diego Martinez-Taboada, Aaditya Ramdas
    Under review.

Publications

  1. Sequential Kernelized Stein Discrepancy
    Diego Martinez-Taboada, Aaditya Ramdas
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
  2. Counterfactual Density Estimation using Kernel Stein Discrepancies
    Diego Martinez-Taboada, Edward H. Kennedy
    International Conference on Learning Representations (ICLR), 2024.
  3. En Efficient Doubly-Robust Test for the Kernel Treatment Effect
    Diego Martinez-Taboada, Aaditya Ramdas, Edward H. Kennedy
    Neural Information Processing Systems (NeurIPS), 2023.

Contact Information

diegomar AT andrew DOT cmu FULLSTOP edu