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Teodor Marinov
Teodor Marinov
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Stochastic approximation for canonical correlation analysis
R Arora, TV Marinov, P Mianjy, N Srebro
arXiv preprint arXiv:1702.06818, 2017
312017
Stochastic optimization for multiview representation learning using partial least squares
R Arora, P Mianjy, T Marinov
International Conference on Machine Learning, 1786-1794, 2016
272016
Streaming Kernel PCA with Random Features
E Ullah, P Mianjy, TV Marinov, R Arora
arXiv preprint arXiv:1808.00934, 2018
262018
Streaming Kernel PCA with Random Features
E Ullah, P Mianjy, TV Marinov, R Arora
arXiv preprint arXiv:1808.00934, 2018
262018
Corralling stochastic bandit algorithms
R Arora, TV Marinov, M Mohri
International Conference on Artificial Intelligence and Statistics, 2116-2124, 2021
242021
Bandits with feedback graphs and switching costs
R Arora, TV Marinov, M Mohri
Advances in Neural Information Processing Systems 32, 10397-10407, 2019
172019
Streaming principal component analysis in noisy setting
TV Marinov, P Mianjy, R Arora
International Conference on Machine Learning, 3413-3422, 2018
162018
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
C Dann, TV Marinov, M Mohri, J Zimmert
arXiv preprint arXiv:2107.01264, 2021
112021
Policy regret in repeated games
R Arora, M Dinitz, TV Marinov, M Mohri
arXiv preprint arXiv:1811.04127, 2018
82018
The Pareto Frontier of model selection for general Contextual Bandits
TV Marinov, J Zimmert
arXiv preprint arXiv:2110.13282, 2021
72021
Efficient convex relaxations for streaming PCA
R Arora, TV Marinov
Advances in Neural Information Processing Systems 32, 10496-10505, 2019
42019
COMPETING AGAINST ADAPTIVE AGENTS BY MINIMIZING COUNTERFACTUAL NOTIONS OF REGRET
TV Marinov
Johns Hopkins University, 2021
2021
Eulerian Orientations versus Euler Tours
TV Marinov
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Articles 1–13