| Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan Advances in Neural Information Processing Systems, 2018 | 148 | 2018 |
| Auto-encoding total correlation explanation S Gao, R Brekelmans, G Ver Steeg, A Galstyan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 67 | 2019 |
| P4ML: A phased performance-based pipeline planner for automated machine learning Y Gil, KT Yao, V Ratnakar, D Garijo, G Ver Steeg, P Szekely, ... AutoML Workshop at ICML, 2018 | 30 | 2018 |
| Exact rate-distortion in autoencoders via echo noise R Brekelmans, D Moyer, A Galstyan, G Ver Steeg Advances in Neural Information Processing Systems, 3889-3900, 2019 | 14 | 2019 |
| q-Paths: Generalizing the Geometric Annealing Path using Power Means V Masrani*, R Brekelmans*, T Bui, F Nielsen, A Galstyan, GV Steeg, ... Uncertainty in Artificial Intelligence (UAI), 2021 | 10* | 2021 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference R Brekelmans*, V Masrani*, F Wood, GV Steeg, A Galstyan International Conference on Machine Learning, 2020 | 10 | 2020 |
| Discovery and separation of features for invariant representation learning A Jaiswal, R Brekelmans, D Moyer, GV Steeg, W AbdAlmageed, ... arXiv preprint arXiv:1912.00646, 2019 | 5 | 2019 |
| Disentangled representations via synergy minimization G Ver Steeg, R Brekelmans, H Harutyunyan, A Galstyan 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 4 | 2017 |
| Likelihood Ratio Exponential Families R Brekelmans, F Nielsen, A Makhzani, A Galstyan, G Ver Steeg NeurIPS Workshop on Deep Learning through Information Geometry, 2020 | 3 | 2020 |
| Your Policy Regularizer is Secretly an Adversary R Brekelmans, T Genewein, J Grau-Moya, G Delétang, M Kunesch, ... Transactions on Machine Learning Research (TMLR), 2022 | 2 | 2022 |
| Gaussian process bandit optimization of the thermodynamic variational objective V Nguyen, V Masrani, R Brekelmans, M Osborne, F Wood Advances in Neural Information Processing Systems 33, 5764-5775, 2020 | 2 | 2020 |
| Model-Free Risk-Sensitive Reinforcement Learning G Delétang, J Grau-Moya, M Kunesch, T Genewein, R Brekelmans, ... arXiv preprint arXiv:2111.02907, 2021 | | 2021 |
| Improving Mutual Information Estimation with Annealed and Energy-Based Bounds R Brekelmans, S Huang, M Ghassemi, G Ver Steeg, RB Grosse, ... International Conference on Learning Representations (ICLR), 2021 | | 2021 |
