Obserwuj
Geoff Gordon
Geoff Gordon
Professor of Machine Learning, Carnegie Mellon University
Zweryfikowany adres z cs.cmu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
S Ross, GJ Gordon, JA Bagnell
Proceedings of the 14th International Conference on Artificial Intelligence …, 2011
36672011
Relational learning via collective matrix factorization
AP Singh, GJ Gordon
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
15012008
Point-based value iteration: An anytime algorithm for POMDPs
J Pineau, G Gordon, S Thrun
Ijcai 3, 1025-1032, 2003
14952003
ARA*: Anytime A* with provable bounds on sub-optimality
M Likhachev, GJ Gordon, S Thrun
Advances in neural information processing systems 16, 2003
10622003
Anytime dynamic A*: An anytime, replanning algorithm.
M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun
ICAPS 5, 262-271, 2005
8772005
Stable function approximation in dynamic programming
GJ Gordon
Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995
7561995
An Empirical Study of Example Forgetting during Deep Neural Network Learning
M Toneva, A Sordoni, R Tachet des Combes, A Trischler, Y Bengio, ...
ICLR, 2019
7482019
Automatic database management system tuning through large-scale machine learning.
DV Aken, A Pavlo, GJ Gordon, B Zhang.
SIGMOD, 2017
7092017
On learning invariant representations for domain adaptation.
H Zhao, R Tachet des Combes, K Zhang, G Gordon
ICML, 2019
6812019
Individualized bayesian knowledge tracing models
MV Yudelson, KR Koedinger, GJ Gordon
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
6752013
Adversarial Multiple Source Domain Adaptation
H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon
NeurIPS, 2018
6352018
Anytime point-based approximations for large POMDPs
J Pineau, G Gordon, S Thrun
Journal of Artificial Intelligence Research 27, 335-380, 2006
5292006
Decentralized estimation and control of graph connectivity for mobile sensor networks
P Yang, RA Freeman, GJ Gordon, KM Lynch, SS Srinivasa, R Sukthankar
Automatica 46 (2), 390-396, 2010
5122010
Finding approximate POMDP solutions through belief compression
N Roy, G Gordon, S Thrun
Journal of artificial intelligence research 23, 1-40, 2005
4452005
Planning in the presence of cost functions controlled by an adversary
HB McMahan, GJ Gordon, A Blum
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
4052003
Anytime search in dynamic graphs
M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun
Artificial Intelligence 172 (14), 1613-1643, 2008
3542008
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
3011997
Visibility-based pursuit-evasion with limited field of view
BP Gerkey, S Thrun, G Gordon
The International Journal of Robotics Research 25 (4), 299-315, 2006
2972006
Closing the learning-planning loop with predictive state representations
B Boots, SM Siddiqi, GJ Gordon.
International Journal of Robotics Research 30 (7), 954–966, 2011
2882011
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction.
W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell.
ICML, 2017
2832017
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20