Martha White

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Adam WhiteUniversity of Alberta, Amii (Alberta Machine Intelligence Institute)Patvirtintas el. paštas ualberta.ca
Richard S. SuttonKeen, Amii, and University of AlbertaPatvirtintas el. paštas richsutton.com
Andrew PattersonUniversity of AlbertaPatvirtintas el. paštas ualberta.ca
Matthew Kyle SchlegelUniversity of AlbertaPatvirtintas el. paštas ualberta.ca
Dale SchuurmansGoogle DeepMind & University of AlbertaPatvirtintas el. paštas ualberta.ca
Lei LeLinkedInPatvirtintas el. paštas linkedin.com
Khurram JavedResearch Scientist at Keen AGIPatvirtintas el. paštas keenagi.com
A. Rupam MahmoodUniversity of Alberta, AmiiPatvirtintas el. paštas ualberta.ca
Ehsan ImaniUniversity of AlbertaPatvirtintas el. paštas ualberta.ca
Thomas DegrisDeepMindPatvirtintas el. paštas google.com
Zaheer AbbasResearch Engineer, Google DeepMindPatvirtintas el. paštas google.com
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of AlbertaPatvirtintas el. paštas ualberta.ca
Predrag RadivojacProfessor of Computer Science, Northeastern UniversityPatvirtintas el. paštas northeastern.edu
Philip ThomasUniversity of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Shantanu JainResearch Scientist, Khoury College of Computer Sciences, Northeastern UniversityPatvirtintas el. paštas northeastern.edu
Yaoliang YuUniversity of WaterlooPatvirtintas el. paštas uwaterloo.ca
Sungsu LimUniversity of AlbertaPatvirtintas el. paštas ualberta.ca
Amir-massoud FarahmandPolytechnique Montreal, Mila, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Wesley ChungMcGill UniversityPatvirtintas el. paštas mail.mcgill.ca
Hengshuai YaoUniversity of AlbertaPatvirtintas el. paštas ualberta.ca

Stebėti

Martha White

University of Alberta

Patvirtintas el. paštas ualberta.ca - Pagrindinis puslapis

Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Off-Policy Actor-Critic T Degris, M White, RS Sutton Twenty-Ninth International Conference on Machine Learning, 2012	694	2012
Meta-learning representations for continual learning K Javed, M White Advances in Neural Information Processing Systems 32, 2019	394	2019
An emphatic approach to the problem of off-policy temporal-difference learning RS Sutton, AR Mahmood, M White Journal of Machine Learning Research 17 (73), 1-29, 2016	333	2016
Supervised autoencoders: Improving generalization performance with unsupervised regularizers L Le, A Patterson, M White Advances in neural information processing systems 31, 2018	317	2018
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning Q Lan, Y Pan, A Fyshe, M White International Conference on Learning Representations, 2020	219	2020
Convex multi-view subspace learning M White, X Zhang, D Schuurmans, Y Yu Advances in neural information processing systems 25, 2012	201	2012
Sim2Real in Robotics and Automation: Applications and Challenges S Höfer, K Bekris, A Handa, JC Gamboa, M Mozifian, F Golemo, ... IEEE Transactions on Automation Science and Engineering 18 (2), 398-400, 2021	182	2021
Estimating the class prior and posterior from noisy positives and unlabeled data S Jain, M White, P Radivojac Advances in neural information processing systems 29, 2016	143	2016
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online Y Pan, K Banman, M White International Conference on Learning Representations, 2021	134*	2021
Unifying task specification in reinforcement learning M White International Conference on Machine Learning, 2016	120	2016
Recovering true classifier performance in positive-unlabeled learning S Jain, M White, P Radivojac Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	93	2017
An off-policy policy gradient theorem using emphatic weightings E Imani, E Graves, M White Advances in Neural Information Processing Systems 31, 2018	90	2018
Optimizing for the Future in Non-Stationary MDPs Y Chandak, G Theocharous, S Shankar, S Mahadevan, M White, ... International Conference on Machine Learning, 2020	79	2020
Improving Regression Performance with Distributional Losses E Imani, M White Advances in Neural Information Processing Systems, 2018	78	2018
Nonparametric semi-supervised learning of class proportions S Jain, M White, MW Trosset, P Radivojac arXiv preprint arXiv:1601.01944, 2016	71	2016
The utility of sparse representations for control in reinforcement learning V Liu, R Kumaraswamy, L Le, M White AAAI Conference on Artificial Intelligence, 2019	64	2019
Gradient Temporal-Difference Learning with Regularized Corrections S Ghiassian, A Patterson, S Garg, D Gupta, A White, M White International Conference on Machine Learning, 3524-3534, 2020	58	2020
Organizing experience: a deeper look at replay mechanisms for sample-based planning in continuous state domains Y Pan, M Zaheer, A White, A Patterson, M White International Joint Conference on Artificial Intelligence, 2018	57	2018
Two-Timescale Networks for Nonlinear Value Function Approximation W Chung, S Nath, A Joseph, M White International Conference on Learning Representations, 2019	56	2019
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study C Linke, NM Ady, M White, T Degris, A White Journal of Artificial Intelligence Research 69, 1287-1332, 2020	54	2020

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