Követés
Zheng Wen
Cím
Hivatkozott rá
Hivatkozott rá
Év
A Tutorial on Thompson Sampling
D Russo, B Van Roy, A Kazerouni, I Osband, Z Wen
arXiv, https://arxiv.org/pdf/1707.02038.pdf, 0
1279*
Deep exploration via randomized value functions
I Osband, B Van Roy, DJ Russo, Z Wen
Journal of Machine Learning Research 20 (124), 1-62, 2019
3662019
Generalization and exploration via randomized value functions
I Osband, B Van Roy, Z Wen
International Conference on Machine Learning, 2377-2386, 2016
3662016
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2014
3562014
Cascading bandits: Learning to rank in the cascade model
B Kveton, C Szepesvári, Z Wen, A Ashkan
ICML, 2015
3362015
Optimal demand response using device based reinforcement learning
Z Wen, D O'Neill, HR Maei
IEEE Transactions on Smart Grid, 2014
3362014
Online influence maximization under independent cascade model with semi-bandit feedback
Z Wen, B Kveton, M Valko, S Vaswani
Advances in neural information processing systems 30, 2017
167*2017
Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit
Y Cao, Z Wen, B Kveton, Y Xie
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
162*2019
Combinatorial cascading bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
Advances in Neural Information Processing Systems 28, 2015
1502015
Cascading bandits for large-scale recommendation problems
S Zong, H Ni, K Sung, NR Ke, Z Wen, B Kveton
arXiv preprint arXiv:1603.05359, 2016
1402016
Matroid bandits: Fast combinatorial optimization with learning
B Kveton, Z Wen, A Ashkan, H Eydgahi, B Eriksson
UAI 2014, 2014
1382014
Epistemic neural networks
I Osband, Z Wen, SM Asghari, V Dwaracherla, M Ibrahimi, X Lu, ...
Advances in Neural Information Processing Systems 36, 2795-2823, 2023
1372023
Optimal Greedy Diversity for Recommendation
A Ashkan, B Kveton, S Berkovsky, Z Wen
1262015
Efficient learning in large-scale combinatorial semi-bandits
Z Wen, B Kveton, A Ashkan
http://jmlr.org/proceedings/papers/v37/wen15.html, 2014
1232014
Online learning to rank in stochastic click models
M Zoghi, T Tunys, M Ghavamzadeh, B Kveton, C Szepesvari, Z Wen
International conference on machine learning, 4199-4208, 2017
1212017
DCM Bandits: Learning to Rank with Multiple Clicks
S Katariya, B Kveton, C Szepesvári, Z Wen
arXiv, 2016
962016
Model-independent online learning for influence maximization
S Vaswani, B Kveton, Z Wen, M Ghavamzadeh, LVS Lakshmanan, ...
International conference on machine learning, 3530-3539, 2017
92*2017
Efficient Exploration and Value Function Generalization in Deterministic Systems
Z Wen, B Van Roy
Advances in Neural Information Processing Systems, 3021--3029, 2013
922013
Reinforcement learning, bit by bit
X Lu, B Van Roy, V Dwaracherla, M Ibrahimi, I Osband, Z Wen
Foundations and Trends® in Machine Learning 16 (6), 733-865, 2023
902023
Garbage in, reward out: Bootstrapping exploration in multi-armed bandits
B Kveton, C Szepesvari, S Vaswani, Z Wen, T Lattimore, M Ghavamzadeh
International Conference on Machine Learning, 3601-3610, 2019
842019
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