Florian Schäfer

1. Compression, inversion, and approximate PCA of dense kernel matrices at\n near-linear computational complexity
   2017/06/07 by Florian Schäfer, T. J. Sullivan, Schäfer, Florian +3 · 7 citations
   Computer Science · Engineering · Environmental Science · #42C40 #60G42 #65F30 #65F50 #65N55 #65N75 #68Q25 #68W40 #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Probability (math.PR) #Soil Geostatistics and Mapping #Sparse and Compressive Sensing Techniques
2. Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
   2023/04/03 by Yifan Chen, Chen, Yifan, Houman Owhadi +3 · 8 citations
   Computer Science · Mathematics · #60G15 #65F30 #65F50 #65M75 #65N75 #68W40 #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Image and Signal Denoising Methods #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Statistical and numerical algorithms #Statistics Theory (math.ST)
3. Competitive Gradient Descent
   2019/05/28 by Florian Schäfer, Schäfer, Florian, Anima Anandkumar +1 · 6 citations
   Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth
4. Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
   2021/08/09 by Matthias Katzfuß, Florian Schäfer, Katzfuss, Matthias +1 · 3 citations
   Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Inference
5. InRank: Incremental Low-Rank Learning
   2023/06/20 by Jiawei Zhao, Yifei Zhang, Zhao, Jiawei +7 · 2 citations
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
6. Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
   2023/01/30 by Jian Cao, Cao, Jian, Myeongjong Kang +9 · 2 citations
   Chemistry · Computer Science · #Blind Source Separation Techniques #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy and Chemometric Analyses