Követés
Eytan Bakshy
Eytan Bakshy
Research Director, Meta
E-mail megerősítve itt: fb.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Exposure to ideologically diverse news and opinion on Facebook
E Bakshy, S Messing, L Adamic
Science 348 (6239), 1130-1132, 2015
42952015
Everyone's an influencer: Quantifying influence on Twitter
E Bakshy, JM Hofman, WA Mason, DJ Watts
Proceedings of the 4th ACM international conference on Web search and data …, 2011
29892011
The role of social networks in information diffusion
E Bakshy, I Rosenn, C Marlow, L Adamic
Proceedings of the 21st international conference on World Wide Web, 519-528, 2012
22322012
BoTorch: A framework for efficient Monte-Carlo Bayesian optimization
M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy
Advances in Neural Information Processing Systems (NeurIPS), 2020
1126*2020
Knowledge sharing and Yahoo answers: Everyone knows something
LA Adamic, J Zhang, E Bakshy, MS Ackerman
Proceeding of the 17th international conference on World Wide Web, 665-674, 2008
11172008
Quantifying the invisible audience in social networks
MS Bernstein, E Bakshy, M Burke, B Karrer
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing …, 2013
5262013
Social influence and the diffusion of user-created content
E Bakshy, B Karrer, LA Adamic
Proceedings of the 10th ACM conference on Electronic commerce, 325-334, 2009
4872009
Social influence in social advertising: Evidence from field experiments
E Bakshy, D Eckles, R Yan, I Rosenn
Proceedings of the 13th ACM Conference on Electronic Commerce, 146-161, 2012
4042012
Constrained Bayesian optimization with noisy experiments
B Letham, B Karrer, G Ottoni, E Bakshy
Bayesian Analysis 14 (2), 495-519, 2019
4032019
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems (NeurIPS), 2020
3292020
Designing and deploying online field experiments
E Bakshy, D Eckles, MS Bernstein
Proceedings of the 23rd international conference on World wide web, 283-292, 2014
2472014
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems (NeurIPS), 2021
1922021
Estimating peer effects in networks with peer encouragement designs
D Eckles, RF Kizilcec, E Bakshy
Proceedings of the National Academy of Sciences 113 (27), 7316-7322, 2016
1652016
Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 US presidential election
JJ Jones, RM Bond, E Bakshy, D Eckles, JH Fowler
PloS one 12 (4), e0173851, 2017
1602017
Scalable meta-learning for bayesian optimization using ranking-weighted gaussian process ensembles
M Feurer, B Letham, E Bakshy
ICML Workshop on AutoML, 2018
143*2018
AE: A domain-agnostic platform for adaptive experimentation
E Bakshy, L Dworkin, B Karrer, K Kashin, B Letham, A Murthy, S Singh
NeurIPS Workshop on Systems for Machine Learning, 2018
1402018
Center of attention: How facebook users allocate attention across friends
L Backstrom, E Bakshy, J Kleinberg, TM Lento, I Rosenn
Proc. 5th International Conference on Weblogs and Social Media, 2011
1362011
Re-examining linear embeddings for high-dimensional Bayesian optimization
B Letham, R Calandra, A Rai, E Bakshy
Advances in Neural Information Processing Systems (NeurIPS), 2020
1332020
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
S Daulton, D Eriksson, M Balandat, E Bakshy
Conference on Uncertainty in Artificial Intelligence (UAI) 38, 2022
1282022
Top challenges from the first practical online controlled experiments summit
S Gupta, R Kohavi, D Tang, Y Xu, R Andersen, E Bakshy, N Cardin, ...
ACM SIGKDD Explorations Newsletter 21 (1), 20-35, 2019
1162019
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