Ilja Klebanov

According to our database, Ilja Klebanov authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Error Bounds for Importance Sampling with Estimated Proposal Distributions.

Cathrine Aeckerle-Willems, Ilja Klebanov, Simon Weissmann

CoRR, May, 2026

Transporting higher-order quadrature rules - Quasi-Monte Carlo points and sparse grids for mixture distributions.

Ilja Klebanov, Tim Sullivan

Stat. Comput., February, 2026

Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport.

Ilja Klebanov, Claudia Schillings, Dana Wrischnig

CoRR, January, 2026

2025

Coherent Set Identification Via Direct Low Rank Maximum Likelihood Estimation.

Robert M. Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai

J. Nonlinear Sci., February, 2025

Lattice Rules Meet Kernel Cubature.

Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, Yuya Suzuki

CoRR, January, 2025

2024

Deterministic Fokker-Planck Transport - With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo.

Ilja Klebanov

CoRR, 2024

2023

Nonnegative matrix factorization for coherent set identification by direct low rank maximum likelihood estimation.

Robert Polzin, Ilja Klebanov, Nikolas Nüsken, Péter Koltai

CoRR, 2023

2021

Markov Chain Importance Sampling - A Highly Efficient Estimator for MCMC.

Ingmar Schuster, Ilja Klebanov

J. Comput. Graph. Stat., 2021

Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces.

Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan

CoRR, 2021

Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems.

Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan

CoRR, 2021

2020

A Rigorous Theory of Conditional Mean Embeddings.

Ilja Klebanov, Ingmar Schuster, Timothy John Sullivan

SIAM J. Math. Data Sci., 2020