| An analytic solution to discrete Bayesian reinforcement learning P Poupart, N Vlassis, J Hoey, K Regan Proceedings of the 23rd international conference on Machine learning, 697-704, 2006 | 398 | 2006 |
| Large margin deep networks for classification G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio Advances in neural information processing systems 31, 2018 | 323 | 2018 |
| Bayesian reputation modeling in e-marketplaces sensitive to subjectivity, deception and change K Regan, P Poupart, R Cohen Proceedings of the national conference on artificial intelligence 21 (2), 1206, 2006 | 168 | 2006 |
| Regret-based reward elicitation for Markov decision processes K Regan, C Boutilier Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009 | 105 | 2009 |
| Scalable second order optimization for deep learning R Anil, V Gupta, T Koren, K Regan, Y Singer arXiv preprint arXiv:2002.09018, 2020 | 76 | 2020 |
| Robust policy computation in reward-uncertain MDPs using nondominated policies K Regan, C Boutilier Proceedings of the Twenty-fourth AAAI Conference on Artificial Intelligence …, 2010 | 66 | 2010 |
| Eliciting additive reward functions for Markov decision processes K Regan, C Boutilier Proceedings of the Twenty-second International Joint Conference on …, 2009 | 43 | 2009 |
| Robust online optimization of reward-uncertain MDPs K Regan, C Boutilier IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011 | 38 | 2011 |
| The Advisor-POMDP: A principled approach to trust through reputation in electronic markets K Regan, R Cohen, P Poupart Conference on Privacy Security and Trust, 2005 | 36 | 2005 |
| Second order optimization made practical R Anil, V Gupta, T Koren, K Regan, Y Singer arXiv preprint arXiv:2002.09018, 2020 | 32 | 2020 |
| Simultaneous elicitation of preference features and utility C Boutilier, K Regan, P Viappiani Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1160-1167, 2010 | 31 | 2010 |
| On the factory floor: ML engineering for industrial-scale ads recommendation models R Anil, S Gadanho, D Huang, N Jacob, Z Li, D Lin, T Phillips, C Pop, ... arXiv preprint arXiv:2209.05310, 2022 | 26 | 2022 |
| Online feature elicitation in interactive optimization C Boutilier, K Regan, P Viappiani Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 23 | 2009 |
| Sharing models of sellers amongst buying agents in electronic marketplaces K Regan, T Tran, R Cohen Decentralized Agent Based and Social Approaches to User Modeling (DASUM), 2005 | 21 | 2005 |
| Indirect reputation assessment for adaptive buying agents in electronic markets K Regan, R Cohen Business Agents and the Semantic Web workshop 1, 2005 | 16 | 2005 |
| Preference elicitation with subjective features C Boutilier, K Regan, P Viappiani Proceedings of the third ACM conference on Recommender systems, 341-344, 2009 | 12 | 2009 |
| A model of indirect reputation assessment for adaptive buying agents in electronic markets K Regan, R Cohen Proceedings of the Business Agents and Semantic Web (BASeWEB05), 2005 | 10 | 2005 |
| Full matrix preconditioning made practical R Anil, V Gupta, T Koren, K Regan, Y Singer | 2 | 2019 |
| A social reputation model for electronic marketplaces sensitive to subjectivity, deception and change KM Regan | 2 | 2006 |
| Towards Practical Second Order Optimization for Deep Learning R Anil, V Gupta, T Koren, K Regan, Y Singer | 1 | 2021 |
Craig BoutilierPrincipal Scientist, GoogleZweryfikowany adres z google.com
