Nikolas Kantas

28 papers A* 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Drift Estimation for Stochastic Differential Equations with Denoising Diffusion Models. CoRR Marcos Tapia Costa, Nikolas Kantas, George Deligiannidis
2026	J	`jnl`	Fast and Robust Consensus-Based Optimization via Optimal Feedback Control. SIAM J. Sci. Comput. Yuyang Huang, Michael Herty, Dante Kalise, Nikolas Kantas
2025	J	`jnl`	Multiobjective Optimization Using the R2 Utility. SIAM Rev. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2025	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. Eur. J. Oper. Res. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	Random Pareto front surfaces. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	Stochastic Mirror Descent for Convex Optimization with Consensus Constraints. SIAM J. Appl. Dyn. Syst. Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis
2023	J	`jnl`	Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation. CoRR Daniel Lengyel, Panos Parpas, Nikolas Kantas, Nicholas R. Jennings
2023	J	`jnl`	Multi-Objective Optimization Using the R2 Utility. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2023	J	`jnl`	On the Generalized Langevin Equation for Simulated Annealing. SIAM/ASA J. Uncertain. Quantification Martin Chak, Nikolas Kantas, Grigorios A. Pavliotis
2023	J	`jnl`	Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. CoRR Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Greg Pavliotis
2023	J	`jnl`	Unbiased estimation using a class of diffusion processes. J. Comput. Phys. Hamza M. Ruzayqat, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas
2022	J	`jnl`	A Lagged Particle Filter for Stable Filtering of Certain High-Dimensional State-Space Models. SIAM/ASA J. Uncertain. Quantification Hamza M. Ruzayqat, Aimad Er-Raiy, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas
2022	A*	`conf`	Joint Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei
2022	J	`jnl`	Joint Entropy Search for Multi-objective Bayesian Optimization. CoRR Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei
2022	J	`jnl`	Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation. SIAM/ASA J. Uncertain. Quantification Louis Sharrock, Nikolas Kantas
2022	J	`jnl`	Unbiased Estimation using a Class of Diffusion Processes. CoRR Hamza M. Ruzayqat, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas
2021	J	`jnl`	A Lagged Particle Filter for Stable Filtering of certain High-Dimensional State-Space Models. CoRR Hamza M. Ruzayqat, Aimad Er-Raiy, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas
2021	J	`jnl`	Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. SIAM J. Sci. Comput. Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas, Hamza M. Ruzayqat
2020	J	`jnl`	Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. CoRR Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas, Hamza M. Ruzayqat
2019	J	`jnl`	The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima? CoRR Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis
2018	J	`jnl`	Particle Filtering for Stochastic Navier-Stokes Signal Observed with Linear Additive Noise. SIAM J. Sci. Comput. Francesc Pons Llopis, Nikolas Kantas, Alexandros Beskos, Ajay Jasra
2017	J	`jnl`	Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Math. Oper. Res. Nick Whiteley, Nikolas Kantas
2017	J	`jnl`	On Adaptive Estimation for Dynamic Bernoulli Bandits. CoRR Xue Lu, Niall M. Adams, Nikolas Kantas
2014	J	`jnl`	Approximate Inference for Observation-Driven Time Series Models with Intractable Likelihoods. ACM Trans. Model. Comput. Simul. Ajay Jasra, Nikolas Kantas, Elena Ehrlich
2014	J	`jnl`	Bayesian parameter inference for partially observed stopped processes. Stat. Comput. Ajay Jasra, Nikolas Kantas, Adam Persing
2014	J	`jnl`	Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier-Stokes Equations. SIAM/ASA J. Uncertain. Quantification Nikolas Kantas, Alexandros Beskos, Ajay Jasra
2009	—	`conf`	Stability of model predictive control using Markov Chain Monte Carlo optimisation. ECC Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas