Hi! I am a PhD student at the Foundational AI CDT at University College London, advised by F-X Briol, Jeremias Knoblauch, and Carlo Ciliberto. Prior to starting my PhD, I was a Machine Learning Scientist at Amazon Research in Cambridge, where I worked on Alexa question answering (2015-2019), and then on Gaussian processes for supply chain emulation (2019-2021). I graduated from Part III in Pure Mathematics at the University of Cambridge in 2014.
My research interests lie broadly in the topics in Gaussian processes and kernel methods; at present, I am focussed on robust inference in conditional probability models.
I will happily respond to “Masha”, but if you’d like to pronounce my last name, it’s nah-sleed-nyk, “y” as in “six”.
|Sep 13, 2023||💬 Giving a talk at the Gaussian Process Summer School at the University of Manchester.|
|Sep 1, 2023||💬 Visiting CISPA Helmholtz Center for Information Security under the Helmholtz Visiting Researcher Grant, September-November 2023.|
|May 8, 2023||💬 I am co-organising the Distance-based methods in Machine Learning workshop.|
|Mar 29, 2023||💬 Our paper Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference was accepted at ICML 2023.|
|Jan 12, 2023||🎉 An upcoming paper, Robust Empirical Bayes for Gaussian Processes, won an ASA Section on Bayesian Statistical Science (SBSS) student paper award. It will be presented at JSM 2023.|
PreprintComparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum LikelihoodarXiv preprint arXiv:2307.07466 2023
ICMLOptimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceIn International Conference on Machine Learning 2023
NeurIPSInvariant Priors for Bayesian QuadratureIn NeurIPS 2021 Workshop. Your Model Is Wrong: Robustness and Misspecification in Probabilistic Modeling 2021
EMNLP-IJCNLPUsing Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale DatasetsIn Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 2019
NeurIPSImproving knowledge graph embeddings with inferred entity typesIn NeurIPS 2018 Workshop: Relational Representation Learning 2018