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Nikolas Kantas
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2020 – today
- 2024
- [j11]Anastasia Borovykh, Nikolas Kantas, Panos Parpas
, Grigorios A. Pavliotis
Stochastic Mirror Descent for Convex Optimization with Consensus Constraints. SIAM J. Appl. Dyn. Syst. 23(3): 2208-2241 (2024) - [i11]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Random Pareto front surfaces. CoRR abs/2405.01404 (2024) - [i10]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR abs/2405.10221 (2024) - 2023
- [j10]Hamza M. Ruzayqat
Unbiased estimation using a class of diffusion processes. J. Comput. Phys. 472: 111643 (2023) - [j9]Martin Chak
On the Generalized Langevin Equation for Simulated Annealing. SIAM/ASA J. Uncertain. Quantification 11(1): 139-167 (2023) - [i9]Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Greg Pavliotis:
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. CoRR abs/2302.00766 (2023) - [i8]Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei:
Multi-Objective Optimization Using the R2 Utility. CoRR abs/2305.11774 (2023) - [i7]Daniel Lengyel, Panos Parpas, Nikolas Kantas, Nicholas R. Jennings:
Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation. CoRR abs/2310.12712 (2023) - 2022
- [j8]Louis Sharrock
Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation. SIAM/ASA J. Uncertain. Quantification 10(1): 55-95 (2022) - [j7]Hamza M. Ruzayqat
A Lagged Particle Filter for Stable Filtering of Certain High-Dimensional State-Space Models. SIAM/ASA J. Uncertain. Quantification 10(1): 1130-1161 (2022) - [c2]Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei:
Joint Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS 2022 - [i6]Hamza M. Ruzayqat, Alexandros Beskos
Unbiased Estimation using a Class of Diffusion Processes. CoRR abs/2203.03013 (2022) - [i5]Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei:
Joint Entropy Search for Multi-objective Bayesian Optimization. CoRR abs/2210.02905 (2022) - 2021
- [j6]Alexandros Beskos
Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. SIAM J. Sci. Comput. 43(4): A2555-A2580 (2021) - [i4]Hamza M. Ruzayqat, Aimad Er-Raiy
A Lagged Particle Filter for Stable Filtering of certain High-Dimensional State-Space Models. CoRR abs/2110.00884 (2021) - 2020
- [i3]Alexandros Beskos, Dan Crisan, Ajay Jasra
Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. CoRR abs/2008.07803 (2020)
2010 – 2019
- 2019
- [i2]Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis:
The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima? CoRR abs/1905.04121 (2019) - 2018
- [j5]Francesc Pons Llopis, Nikolas Kantas, Alexandros Beskos
Particle Filtering for Stochastic Navier-Stokes Signal Observed with Linear Additive Noise. SIAM J. Sci. Comput. 40(3) (2018) - 2017
- [j4]Nick Whiteley
Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Math. Oper. Res. 42(4): 1007-1034 (2017) - [i1]Xue Lu, Niall M. Adams, Nikolas Kantas:
On Adaptive Estimation for Dynamic Bernoulli Bandits. CoRR abs/1712.03134 (2017) - 2014
- [j3]Nikolas Kantas, Alexandros Beskos
Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier-Stokes Equations. SIAM/ASA J. Uncertain. Quantification 2(1): 464-489 (2014) - [j2]Ajay Jasra
Bayesian parameter inference for partially observed stopped processes. Stat. Comput. 24(1): 1-20 (2014) - [j1]Ajay Jasra, Nikolas Kantas, Elena Ehrlich:
Approximate Inference for Observation-Driven Time Series Models with Intractable Likelihoods. ACM Trans. Model. Comput. Simul. 24(3): 13:1-13:25 (2014)
2000 – 2009
- 2009
- [c1]Elilini Siva, Paul Goulart, Jan M. Maciejowski, Nikolas Kantas:
Stability of model predictive control using Markov Chain Monte Carlo optimisation. ECC 2009: 2851-2856
Coauthor Index
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