Kostic, Vladimir R

10 publications

ICLR 2026 A Spectral-Grassmann Wasserstein Metric for Operator Representations of Dynamical Systems Thibaut Germain, Rémi Flamary, Vladimir R Kostic, Karim Lounici

AISTATS 2025 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications Erfan Mirzaei, Andreas Maurer, Vladimir R Kostic, Massimiliano Pontil

NeurIPS 2025 Demystifying Spectral Feature Learning for Instrumental Variable Regression Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir R Kostic, Arthur Gretton

ICML 2025 Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Vladimir R Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil

ICML 2024 Consistent Long-Term Forecasting of Ergodic Dynamical Systems Vladimir R Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil

NeurIPS 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach Timothée Devergne, Vladimir R. Kostic, Michele Parrinello, Massimiliano Pontil

ICLR 2024 Learning Invariant Representations of Time-Homogeneous Stochastic Dynamical Systems Vladimir R Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil

NeurIPS 2024 Learning the Infinitesimal Generator of Stochastic Diffusion Processes Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Massimiliano Pontil

NeurIPS 2024 Neural Conditional Probability for Uncertainty Quantification Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Massimiliano Pontil

ICML 2022 Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil