Kantas, Nikolas

1. Joint Entropy Search for Multi-objective Bayesian Optimization
   2022/10/06 by Ben Tu, Axel Gandy, Tu, Ben +5 · 10 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC)
2. Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A\n case study for the Navier-Stokes equations
   2013/07/23 by Nikolas Kantas, Kantas, Nikolas, Alexandros Beskos +3 · 5 citations
   Computer Science · Decision Sciences · Earth and Planetary Sciences · Environmental Science · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Meteorological Phenomena and Simulations #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design #Wind and Air Flow Studies
3. On the Convergence of Adaptive Sequential Monte Carlo Methods
   2013/06/27 by Beskos, Alexandros, Jasra, Ajay, Kantas, Nikolas +1 · 3 citations
   #Computation (stat.CO) #FOS: Computer and information sciences
4. Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
   2021/06/25 by Louis Sharrock, Sharrock, Louis, Nikolas Kantas +5 · 4 citations
   Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #60F05 #60F25 #60H10 #62F12 #Advanced Thermodynamics and Statistical Mechanics #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Probability (math.PR) #Statistical Mechanics and Entropy #Statistics Theory (math.ST) #Stochastic processes and financial applications
5. Particle Filtering for Stochastic Navier-Stokes Signal Observed with\n Linear Additive Noise
   2017/10/12 by Francesc Pons Llopis, Nikolas Kantas, Llopis, Francesc Pons +5 · 2 citations
   Computer Science · Economics, Econometrics and Finance · Social Sciences · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Insurance, Mortality, Demography, Risk Management #Stochastic processes and financial applications
6. A Lagged Particle Filter for Stable Filtering of certain High-Dimensional State-Space Models
   2021/10/02 by Hamza Ruzayqat, Ruzayqat, Hamza, Aimad Er-Raiy +9 · 2 citations
   Computer Science · Social Sciences · #60G35 #60J10 #60J20 #62M20 #93E11 #94A12 #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Insurance, Mortality, Demography, Risk Management #Numerical Analysis (math.NA) #Probability (math.PR) #Target Tracking and Data Fusion in Sensor Networks
7. Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
   2020/07/31 by Louis Sharrock, Nikolas Kantas, Sharrock, Louis +1 · 1 citation
   Economics, Econometrics and Finance · Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Probability (math.PR) #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic processes and financial applications
8. Multi-objective optimisation via the R2 utilities
   2023/05/19 by Ben Tu, Nikolas Kantas, Tu, Ben +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference
9. Score-Based Parameter Estimation for a Class of Continuous-Time State\n Space Models
   2020/08/18 by Alexandros Beskos, Dan Crisan, Beskos, Alexandros +7 · 1 citation
   Decision Sciences · Mathematics · Medicine · #60G35 #60H10 #60H35 #60J60 #60J65 #62F99 #65C05 #65C30 #65C35 #91G60 #93E11 #Advanced Neuroimaging Techniques and Applications #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Bayesian Inference #demographic modeling and climate adaptation
10. Mixing Time Bounds for the Gibbs Sampler under Isoperimetry
    2025/06/27 by A. Goyal, Goyal, Alexander, George Deligiannidis +3 · 2 citations
    Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Random Matrices and Applications #Statistics Theory (math.ST) #Stochastic processes and statistical mechanics
11. Random Pareto front surfaces
    2024/05/02 by Tu, Ben, Kantas, Nikolas, Lee, Robert M. +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC)