Ian Gemp
Title
Cited by
Cited by
Year
Generative multi-adversarial networks
I Durugkar, I Gemp, S Mahadevan
arXiv preprint arXiv:1611.01673, 2016
2292016
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces
S Mahadevan, B Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
arXiv preprint arXiv:1405.6757, 2014
372014
Quantitative analysis of synaptic release at the photoreceptor synapse
G Duncan, K Rabl, I Gemp, R Heidelberger, WB Thoreson
Biophysical journal 98 (10), 2102-2110, 2010
362010
Global convergence to the equilibrium of gans using variational inequalities
I Gemp, S Mahadevan
arXiv preprint arXiv:1808.01531, 2018
262018
Cadherin-dependent cell morphology in an epithelium: constructing a quantitative dynamical model
IM Gemp, RW Carthew, S Hilgenfeldt
PLoS Comput Biol 7 (7), e1002115, 2011
162011
Smooth markets: A basic mechanism for organizing gradient-based learners
D Balduzzi, WM Czarnecki, TW Anthony, IM Gemp, E Hughes, JZ Leibo, ...
arXiv preprint arXiv:2001.04678, 2020
62020
Learning to play no-press diplomacy with best response policy iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, TC Hudson, N Porcel, ...
arXiv preprint arXiv:2006.04635, 2020
52020
Social diversity and social preferences in mixed-motive reinforcement learning
KR McKee, I Gemp, B McWilliams, EA Duéñez-Guzmán, E Hughes, ...
arXiv preprint arXiv:2002.02325, 2020
52020
Automated data cleansing through meta-learning
I Gemp, G Theocharous, M Ghavamzadeh
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
52017
Proximal gradient temporal difference learning: Stable reinforcement learning with polynomial sample complexity
B Liu, I Gemp, M Ghavamzadeh, J Liu, S Mahadevan, M Petrik
Journal of Artificial Intelligence Research 63, 461-494, 2018
32018
Online Monotone Games
I Gemp, S Mahadevan
arXiv preprint arXiv:1710.07328, 2017
22017
Unmixing in the presence of nuisances with deep generative models
M Parente, I Gemp, I Durugkar
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
22017
Online Monotone Optimization
I Gemp, S Mahadevan
arXiv preprint arXiv:1608.07888, 2016
22016
Inverting variational autoencoders for improved generative accuracy
I Gemp, I Durugkar, M Parente, MD Dyar, S Mahadevan
arXiv preprint arXiv:1608.05983, 2016
22016
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces, 2014
S Mahadevan, B Liu, PS Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
CoRR abs/1405.6757, 0
2
Eigengame: Pca as a nash equilibrium
I Gemp, B McWilliams, C Vernade, T Graepel
arXiv preprint arXiv:2010.00554, 2020
12020
Weakly semi-supervised neural topic models
I Gemp, R Nallapati, R Ding, F Nan, B Xiang
12019
Raman/LIBS Data Fusion via Two-Way Variational Autoencoders
M Parente, I Gemp
Planetary Science Informatics and Data Analytics Conference 2082 (2081), 6064, 2018
12018
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities
I Gemp, S Mahadevan, B Liu
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
12015
Finding equilibria in large games using variational inequalities
I Gemp, S Mahadevan
Assoc Advance Artif Intell, 1-7, 2015
12015
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Articles 1–20