James Ridgway

1. On the properties of variational approximations of Gibbs posteriors
   2015/06/12 by Pierre Alquier, Alquier, Pierre, James Ridgway +4 · 19 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #math.ST #stat.ML #stat.TH
2. Concentration of tempered posteriors and of their variational\n approximations
   2017/06/28 by Pierre Alquier, Alquier, Pierre, James Ridgway +1 · 9 citations
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Statistics Theory (math.ST)
3. Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
   2015/06/29 by ChopinNicolas, Nicolas Chopin, James Ridgway +2 · 3 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #stat.CO #stat.ME
4. Probably approximate Bayesian computation: nonasymptotic convergence of\n ABC under misspecification
   2017/07/19 by James Ridgway, Ridgway, James · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Statistics Theory (math.ST)