Salomone, Robert

1. Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
   2018/05/10 by Robert Salomone, Salomone, Robert, Leah F. South +8 · 4 voices · 3 citations
   Mathematics · #stat.CO
2. Implicit Langevin Algorithms for Sampling From Log-concave Densities
   2019/03/29 by Liam Hodgkinson, Hodgkinson, Liam, Robert Salomone +3 · 4 citations
   Economics, Econometrics and Finance · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Stochastic processes and financial applications
3. The reproducing Stein kernel approach for post-hoc corrected sampling
   2020/01/25 by Liam Hodgkinson, Robert Salomone, Hodgkinson, Liam +3 · 4 citations
   Computer Science · Engineering · Mathematics · #60B10 (Secondary) #65C05 (Primary) 60J22 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Geophysical Methods and Applications #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
4. Transport Reversible Jump Proposals
   2022/10/22 by Davies, Laurence, Salomone, Robert, Sutton, Matthew +1 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
5. The Interpolating Information Criterion for Overparameterized Models
   2023/07/15 by Liam Hodgkinson, Hodgkinson, Liam, Chris van der Heide +7 · 2 citations
   Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference
6. Federated Variational Inference Methods for Structured Latent Variable Models
   2023/02/07 by Conor Hassan, Hassan, Conor, Robert Salomone +3 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Topic Modeling
7. Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
   2023/07/28 by Conor Hassan, Hassan, Conor, Robert Salomone +3 · 1 citation
   Computer Science · #Privacy-Preserving Technologies in Data