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Branislav Kveton
Branislav Kveton
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Citata da
Citata da
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Cascading Bandits: Learning to Rank in the Cascade Model
B Kveton, C Szepesvari, Z Wen, A Ashkan
32nd International Conference on Machine Learning, 2015
2502015
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
18th International Conference on Artificial Intelligence and Statistics, 2015
2292015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
J Kawale, H Bui, B Kveton, L Tran-Thanh, S Chawla
Advances in Neural Information Processing Systems 28, 1297-1305, 2015
1812015
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, 3022-3032, 2017
111*2017
User Identification and Personalized Vehicle Settings Management System
VB Lortz, B Kveton, VS Kesavan, S Rathi, AP Rangarajan
US Patent 9,862,352, 2018
1082018
Matroid Bandits: Fast Combinatorial Optimization with Learning
B Kveton, Z Wen, A Ashkan, H Eydgahi, B Eriksson
30th Conference on Uncertainty in Artificial Intelligence, 2014
1062014
Spectral Bandits for Smooth Graph Functions
M Valko, R Munos, B Kveton, T Kock
31st International Conference on Machine Learning, 2014
982014
Combinatorial Cascading Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
Advances in Neural Information Processing Systems 28, 1450-1458, 2015
972015
Solving Factored MDPs with Continuous and Discrete Variables
C Guestrin, M Hauskrecht, B Kveton
20th Conference on Uncertainty in Artificial Intelligence, 235-242, 2004
972004
Leveraging Side Observations in Stochastic Bandits
S Caron, B Kveton, M Lelarge, S Bhagat
28th Conference on Uncertainty in Artificial Intelligence, 2012
962012
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
D Dash, B Kveton, JM Agosta, E Schooler, J Chandrashekar, A Bachrach, ...
21st National Conference on Artificial Intelligence, 1115-1122, 2006
932006
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Z Wen, B Kveton, A Ashkan
32nd International Conference on Machine Learning, 1113–1122, 2015
902015
Cascading Bandits for Large-Scale Recommendation Problems
S Zong, H Ni, K Sung, NR Ke, Z Wen, B Kveton
32nd Conference on Uncertainty in Artificial Intelligence, 2016
892016
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
Y Cao, Z Wen, B Kveton, Y Xie
22nd International Conference on Artificial Intelligence and Statistics, 418-427, 2019
85*2019
Optimal Greedy Diversity for Recommendation
A Ashkan, B Kveton, S Berkovsky, Z Wen
24th International Joint Conference on Artificial Intelligence, 1742-1748, 2015
852015
Online Learning to Rank in Stochastic Click Models
M Zoghi, T Tunys, M Ghavamzadeh, B Kveton, C Szepesvari, Z Wen
34th International Conference on Machine Learning, 4199-4208, 2017
842017
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
M Hauskrecht, B Kveton
Advances in Neural Information Processing Systems 16, 895-902, 2003
782003
DCM Bandits: Learning to Rank with Multiple Clicks
S Katariya, B Kveton, C Szepesvari, Z Wen
33rd International Conference on Machine Learning, 2016
752016
Managing your private and public data: Bringing down inference attacks against your privacy
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1240-1255, 2015
722015
Solving Factored MDPs with Hybrid State and Action Variables
B Kveton, M Hauskrecht, C Guestrin
Journal of Artificial Intelligence Research 27, 153-201, 2006
722006
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