Branislav Kveton
Branislav Kveton
Google Research
Verifierad e-postadress på google.com - Startsida
Titel
Citeras av
Citeras av
År
Cascading Bandits: Learning to Rank in the Cascade Model
B Kveton, C Szepesvari, Z Wen, A Ashkan
32nd International Conference on Machine Learning, 2015
1642015
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
1562015
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
1152015
Solving Factored MDPs with Continuous and Discrete Variables
C Guestrin, M Hauskrecht, B Kveton
20th Conference on Uncertainty in Artificial Intelligence, 235-242, 2004
902004
User Identification and Personalized Vehicle Settings Management System
VB Lortz, B Kveton, VS Kesavan, S Rathi, AP Rangarajan
US Patent 9,862,352, 2018
862018
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
852006
Spectral Bandits for Smooth Graph Functions
M Valko, R Munos, B Kveton, T Kocák
31st International Conference on Machine Learning, 2014
812014
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
752014
Leveraging Side Observations in Stochastic Bandits
S Caron, B Kveton, M Lelarge, S Bhagat
28th Conference on Uncertainty in Artificial Intelligence, 2012
752012
Solving Factored MDPs with Hybrid State and Action Variables
B Kveton, M Hauskrecht, C Guestrin
Journal of Artificial Intelligence Research 27, 153-201, 2006
702006
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
M Hauskrecht, B Kveton
Advances in Neural Information Processing Systems 16, 895-902, 2003
702003
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Z Wen, B Kveton, A Ashkan
32nd International Conference on Machine Learning, 1113–1122, 2015
642015
Combinatorial Cascading Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
Advances in Neural Information Processing Systems 28, 1450-1458, 2015
622015
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
592016
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
58*2017
How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
2013 IEEE Global Conference on Signal and Information Processing, 269-272, 2013
582013
DCM Bandits: Learning to Rank with Multiple Clicks
S Katariya, B Kveton, C Szepesvari, Z Wen
33rd International Conference on Machine Learning, 2016
552016
Optimal Greedy Diversity for Recommendation
A Ashkan, B Kveton, S Berkovsky, Z Wen
24th International Joint Conference on Artificial Intelligence, 1742-1748, 2015
552015
Inferring Identity using Accelerometers in Television Remote Controls
KH Chang, J Hightower, B Kveton
7th International Conference on Pervasive Computing, 151-167, 2009
542009
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
502017
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20