Masha Naslidnyk

12 papers A* 3A 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalable Kernel-Based Distances for Statistical Inference and Integration.
CoRR
Masha Naslidnyk
2025 J jnl
Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood.
SIAM/ASA J. Uncertain. Quantification
Masha Naslidnyk, Motonobu Kanagawa, Toni Karvonen, Maren Mahsereci
2025 A* conf
Kernel Quantile Embeddings and Associated Probability Metrics.
ICML
Masha Naslidnyk, Siu Lun Chau, François-Xavier Briol, Krikamol Muandet
2025 J jnl
Kernel Quantile Embeddings and Associated Probability Metrics.
CoRR
Masha Naslidnyk, Siu Lun Chau, François-Xavier Briol, Krikamol Muandet
2025 A* conf
Nested Expectations with Kernel Quadrature.
ICML
Zonghao Chen, Masha Naslidnyk, François-Xavier Briol
2025 J jnl
Nested Expectations with Kernel Quadrature.
CoRR
Zonghao Chen, Masha Naslidnyk, François-Xavier Briol
2024 A conf
Conditional Bayesian Quadrature.
UAI
Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol
2024 J jnl
Conditional Bayesian Quadrature.
CoRR
Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol
2023 A* conf
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.
ICML
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol
2021 J jnl
Invariant Priors for Bayesian Quadrature.
CoRR
Masha Naslidnyk, Javier Gonzalez, Maren Mahsereci
2019 — conf
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets.
EMNLP/IJCNLP (1)
Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal
2019 J jnl
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets.
CoRR
Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal