Paulin, Daniel
- Concentration inequalities for Markov chains by Marton couplings and spectral methods
2012/12/10 by Daniel Paulin, Paulin, Daniel · 12 citations
Mathematics · #Markov Chains and Monte Carlo Methods #Graph theory and applications
- Dual Space Preconditioning for Gradient Descent
2019/02/06 by Maddison, Chris J., Paulin, Daniel, Teh, Yee Whye +1 · 5 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates
2018/08/13 by Deligiannidis, George, Paulin, Daniel, Bouchard-Côté, Alexandre +1 · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR)
- Mixing and Concentration by Ricci Curvature
2014/04/10 by Paulin, Daniel · 1 citation
#60E15 #60J05 #60J10 #68Q87 #FOS: Mathematics #Probability (math.PR)
- Efron-Stein Inequalities for Random Matrices
2014/08/15 by Paulin, Daniel, Mackey, Lester, Tropp, Joel A. · 1 citation
#60B20 (Primary) #60E15 #60F10 #60G09 (Secondary) #FOS: Mathematics #Functional Analysis (math.FA) #Probability (math.PR)
- Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
2019/05/23 by Vono, Maxime, Paulin, Daniel, Doucet, Arnaud · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
- Randomized Time Riemannian Manifold Hamiltonian Monte Carlo
2022/06/09 by Whalley, Peter A., Paulin, Daniel, Leimkuhler, Benedict · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
2023/06/14 by Leimkuhler, Benedict, Paulin, Daniel, Whalley, Peter A. · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA)
- Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
2023/11/08 by Neil K. Chada, Chada, Neil K., Benedict Leimkuhler +5 · 1 citation
Computer Science · Mathematics · #62F15 #65C05 #65C30 #65C40 #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Numerical Analysis (math.NA)
- Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
2024/10/14 by Paulin, Daniel, Whalley, Peter A., Chada, Neil K. +1 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Numerical Analysis (math.NA) #Probability (math.PR)