עקוב אחר
Masha Naslidnyk
Masha Naslidnyk
University College London
כתובת אימייל מאומתת בדומיין ucl.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference‏
A Bharti, M Naslidnyk, O Key, S Kaski, FX Briol‏
arXiv preprint arxiv:2301.11674, 2023‏
122023
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets‏
E Balkir, M Naslidnyk, D Palfrey, A Mittal‏
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019‏
72019
Comparing scale parameter estimators for Gaussian process regression: cross validation and maximum likelihood‏
M Naslidnyk, M Kanagawa, T Karvonen, M Mahsereci‏
arXiv preprint arXiv:2307.07466, 2023‏
52023
Conditional Bayesian Quadrature‏
Z Chen, M Naslidnyk, A Gretton, FX Briol‏
arXiv preprint arXiv:2406.16530, 2024‏
42024
Invariant Priors for Bayesian Quadrature‏
M Naslidnyk, J Gonzalez, M Mahsereci‏
NeurIPS 2021 Workshop. Your Model Is Wrong: Robustness and Misspecification …, 2021‏
22021
Improving knowledge graph embeddings with inferred entity types‏
E Balkır, M Naslidnyk, D Palfrey, A Mittal‏
Proceedings of the 32nd Annual Conference on Neural Information Processing …, 2018‏
22018
Nested Expectations with Kernel Quadrature‏
Z Chen, M Naslidnyk, FX Briol‏
arXiv preprint arXiv:2502.18284, 2025‏
2025
Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood‏
M Naslidnyk, M Kanagawa, T Karvonen, M Mahsereci‏
arXiv preprint arXiv:2307.07466, 2023‏
2023
Improved knowledge graph embeddings by using inferred entity types‏
E Balkir, M Naslidnyk, D Palfrey, A Mittal, S Durrant‏
2018
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–9