Efficient low rank gaussian variational inference for neural networks M Tomczak, S Swaroop, RE Turner Advances in Neural Information Processing Systems 33, 2020 | 25 | 2020 |
Neural network ensembles and variational inference revisited MB Tomczak, S Swaroop, RE Turner 1st Symposium on Advances in Approximate Bayesian Inference, 1-11, 2018 | 15 | 2018 |
Collapsed variational bounds for bayesian neural networks M Tomczak, S Swaroop, A Foong, R Turner Advances in Neural Information Processing Systems 34, 25412-25426, 2021 | 13 | 2021 |
Policy Optimization Through Approximate Importance Sampling MB Tomczak, D Kim, P Vrancx, KE Kim arXiv preprint arXiv:1910.03857, 2019 | 5 | 2019 |
Bachbot MB Tomczak MPhil dissertation, University of Cambridge, 2016 | 5 | 2016 |
Marginal Likelihood Gradient for Bayesian Neural Networks MB Tomczak, RE Turner Third Symposium on Advances in Approximate Bayesian Inference, 2021 | 4 | 2021 |
Efficient reinforcement dynamic mechanism design D Mguni, M Tomczak GAIW: Games, agents and incentives workshops, at AAMAS, Montreal, Canada, 2019 | 4 | 2019 |
Compatible features for Monotonic Policy Improvement MB Tomczak, EM de Cote, SV Macua, P Vrancx NeurIPS 2019 Optimization Foundations of Reinforcement Learning Workshop, 2019 | 1 | 2019 |