Masha Naslidnyk

According to our database, Masha Naslidnyk authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

Scalable Kernel-Based Distances for Statistical Inference and Integration.

Masha Naslidnyk

CoRR, February, 2026

2025

Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood.

Masha Naslidnyk, Motonobu Kanagawa, Toni Karvonen, Maren Mahsereci

SIAM/ASA J. Uncertain. Quantification, 2025

Kernel Quantile Embeddings and Associated Probability Metrics.

Masha Naslidnyk, Siu Lun Chau, François-Xavier Briol, Krikamol Muandet

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Nested Expectations with Kernel Quadrature.

Zonghao Chen, Masha Naslidnyk, François-Xavier Briol

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Conditional Bayesian Quadrature.

Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.

Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol

Proceedings of the International Conference on Machine Learning, 2023

2021

Invariant Priors for Bayesian Quadrature.

Masha Naslidnyk, Javier Gonzalez, Maren Mahsereci

CoRR, 2021

2019

Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets.

Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019