Tom Rainforth
University of Oxford(GB)
Publications by Year
Research Areas
Machine Learning and Algorithms, Gaussian Processes and Bayesian Inference, Machine Learning and Data Classification, Bayesian Modeling and Causal Inference, Advanced Multi-Objective Optimization Algorithms
Most-Cited Works
- → Modern Bayesian Experimental Design(2024)73 cited
- Auto-Encoding Sequential Monte Carlo(2018)
- → Disentangling Disentanglement in Variational Autoencoders(2018)52 cited
- → On Nesting Monte Carlo Estimators(2017)45 cited
- → Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning(2021)43 cited
- → Canonical Correlation Forests(2015)40 cited
- → Variational Bayesian Optimal Experimental Design(2019)36 cited
- → Tighter Variational Bounds are Not Necessarily Better(2018)31 cited
- → On Statistical Bias In Active Learning: How and When To Fix It(2021)24 cited