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Adrian Rivera Cardoso
Adrian Rivera Cardoso
Verified email at linkedin.com - Homepage
Title
Cited by
Cited by
Year
Competing against nash equilibria in adversarially changing zero-sum games
AR Cardoso, J Abernethy, H Wang, H Xu
International Conference on Machine Learning, 921-930, 2019
37*2019
Risk-averse stochastic convex bandit
AR Cardoso, H Xu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
342019
Differentially private histograms under continual observation: Streaming selection into the unknown
AR Cardoso, R Rogers
International Conference on Artificial Intelligence and Statistics, 2397-2419, 2022
272022
The online saddle point problem and online convex optimization with knapsacks
A Rivera, H Wang, H Xu
arXiv preprint arXiv:1806.08301, 2018
15*2018
Differentially private online submodular minimization
AR Cardoso, R Cummings
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
Large scale markov decision processes with changing rewards
A Rivera Cardoso, H Wang, H Xu
Advances in Neural Information Processing Systems 32, 2019
112019
A members first approach to enabling linkedin's labor market insights at scale
R Rogers, AR Cardoso, K Mancuhan, A Kaura, N Gahlawat, N Jain, P Ko, ...
arXiv preprint arXiv:2010.13981, 2020
82020
The online saddle point problem: Applications to online convex optimization with knapsacks
A Rivera, H Wang, H Xu
arXiv preprint arXiv:1806.08301, 2018
22018
Event-level data privacy for streaming post analytics data
RM Rogers, S Subramaniam, MB Cesar, AR Cardoso, Y Chen, J Lai, ...
US Patent App. 17/709,318, 2023
2023
Building data-secure group profiles
RM Rogers, HU Mingyang, AR Cardoso, RE Ortigas, HAG Cabezas
US Patent App. 17/683,269, 2023
2023
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown
A Rivera Cardoso, R Rogers
arXiv e-prints, arXiv: 2103.16787, 2021
2021
Advances in online convex optimization, games, and problems with bandit feedback
A Rivera Cardoso
Georgia Institute of Technology, 2019
2019
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
A Rivera Cardoso, J Abernethy, H Wang, H Xu
arXiv e-prints, arXiv: 1907.07723, 2019
2019
Differentially Private Online Submodular Optimization
A Rivera Cardoso, R Cummings
arXiv e-prints, arXiv: 1807.02290, 2018
2018
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