Konstantinos C. Zygalakis

1. Data Assimilation: A Mathematical Introduction
   2015/06/25 by Kody J. H. Law, Andrew M. Stuart, Law, K. J. H. +3 · 16 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Climate variability and models #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Meteorological Phenomena and Simulations #Methodology (stat.ME) #Optimization and Control (math.OC)
2. Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
   2021/03/18 by Matthew T. Holden, Marcelo Pereyra, Holden, Matthew +3 · 5 citations
   Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods
3. Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
   2021/04/26 by J. M. Sanz‐Serna, Sanz-Serna, J. M., Konstantinos C. Zygalakis +1 · 3 citations
   Mathematics · Medicine · #60H10 #60H35 #65C40 #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Inference
4. Multilevel Monte Carlo for Scalable Bayesian Computations
   2016/09/15 by Tigran Nagapetyan, Giles, Mike, Nagapetyan, Tigran +6 · 2 citations
   Mathematics · Decision Sciences · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Probabilistic and Robust Engineering Design
5. Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
   2023/02/09 by Tapio Helin, Helin, Tapio, Andrew M. Stuart +5 · 2 citations
   Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistical Methods and Inference #Statistics Theory (math.ST)
6. Probability Measures for Numerical Solutions of Differential Equations
   2015/06/15 by Patrick R. Conrad, Conrad, Patrick R., Mark Girolami +7 · 1 citation
   Computer Science · Decision Sciences · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
7. The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution
   2022/06/28 by Marcelo Pereyra, Pereyra, Marcelo, Luis A. Vargas-Mieles +3 · 2 citations
   Computer Science · Mathematics · #60J22 #62F15 #62H10 #65C40 #65J22 #68U10 (Primary) 62E17 #68W25 (Secondary) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
8. The connections between Lyapunov functions for some optimization algorithms and differential equations
   2020/09/01 by J. M. Sanz‐Serna, Sanz-Serna, J. M., Konstantinos C. Zygalakis +1 · 1 citation
   Computer Science · Engineering · Mathematics · #65L06 #65L20 #90C25 #93C15 #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
9. The True Cost of Stochastic Gradient Langevin Dynamics
   2017/06/08 by Tigran Nagapetyan, Nagapetyan, Tigran, A. Duncan +9 · 2 citations
   Computer Science · Mathematics · #65C05 #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Numerical Analysis (math.NA) #Statistical Methods and Inference
10. Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent
    2023/09/05 by Stefano Di Giovacchino, Desmond J. Higham, Di Giovacchino, Stefano +3 · 1 citation
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #Stochastic processes and financial applications
11. Generative Hypergraph Models and Spectral Embedding
    2022/07/28 by Gong Xue, Gong, Xue, Desmond J. Higham +3 · 1 citation
    Computer Science · Physics and Astronomy · #Data Visualization and Analytics #Complex Network Analysis Techniques #Topological and Geometric Data Analysis