Matthew M. Dunlop

1. Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning\n Algorithms
   2018/05/23 by Matthew M. Dunlop, Dunlop, Matthew M., Dejan Slepčev +5 · 3 citations
   Decision Sciences · Engineering · Mathematics · #49J55 #62C10 #62F15 #62G20 #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
2. How Deep Are Deep Gaussian Processes?
   2017/11/30 by Matthew M. Dunlop, Mark Girolami, Dunlop, Matthew M. +5 · 3 citations
   Computer Science · #Gaussian Processes and Bayesian Inference
3. Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations\n and Consistency
   2019/05/10 by Matthew M. Dunlop, Tapio Helin, Dunlop, Matthew M. +3 · 1 citation
   Computer Science · Mathematics · #45Q05 #62C10 #62G05 #62G20 #Bayesian Methods and Mixture Models #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Numerical Analysis (math.NA) #Statistical Methods and Inference #Statistics Theory (math.ST)
4. Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion
   2020/04/07 by Matthew M. Dunlop, Dunlop, Matthew M., Yunan Yang +1 · 1 citation
   Earth and Planetary Sciences · Engineering · #49K40 #62C10 #65J22 #86A22 #FOS: Mathematics #Hydraulic Fracturing and Reservoir Analysis #Hydrocarbon exploration and reservoir analysis #Numerical Analysis (math.NA) #Seismic Imaging and Inversion Techniques #Statistics Theory (math.ST)