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Teodor Marinov
Teodor Marinov
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Corralling stochastic bandit algorithms
R Arora, TV Marinov, M Mohri
International Conference on Artificial Intelligence and Statistics, 2116-2124, 2021
442021
Stochastic approximation for canonical correlation analysis
R Arora, TV Marinov, P Mianjy, N Srebro
Advances in Neural Information Processing Systems 30, 2017
442017
Streaming Kernel PCA with Random Features
E Ullah, P Mianjy, TV Marinov, R Arora
Advances in Neural Information Processing Systems 31, 2018
422018
Streaming Kernel PCA with Random Features
E Ullah, P Mianjy, TV Marinov, R Arora
Advances in Neural Information Processing Systems 31, 2018
422018
Beyond value-function gaps: Improved instance-dependent regret bounds for episodic reinforcement learning
C Dann, TV Marinov, M Mohri, J Zimmert
Advances in Neural Information Processing Systems 34, 1-12, 2021
402021
Stochastic optimization for multiview representation learning using partial least squares
R Arora, P Mianjy, T Marinov
International Conference on Machine Learning, 1786-1794, 2016
352016
Bandits with feedback graphs and switching costs
R Arora, TV Marinov, M Mohri
Advances in Neural Information Processing Systems 32, 2019
342019
The Pareto Frontier of model selection for general Contextual Bandits
TV Marinov, J Zimmert
Advances in Neural Information Processing Systems 34, 17956-17967, 2021
272021
A mechanism for sample-efficient in-context learning for sparse retrieval tasks
J Abernethy, A Agarwal, TV Marinov, MK Warmuth
International Conference on Algorithmic Learning Theory, 3-46, 2024
232024
Streaming principal component analysis in noisy setting
TV Marinov, P Mianjy, R Arora
International Conference on Machine Learning, 3413-3422, 2018
232018
Policy regret in repeated games
R Arora, M Dinitz, TV Marinov, M Mohri
Advances in Neural Information Processing Systems 31, 2018
182018
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization
YA Ma, TV Marinov, T Zhang
arXiv preprint arXiv:2206.01836, 2022
92022
Stochastic online learning with feedback graphs: Finite-time and asymptotic optimality
TV Marinov, M Mohri, J Zimmert
Advances in Neural Information Processing Systems 35, 24947-24959, 2022
62022
Efficient convex relaxations for streaming PCA
R Arora, TV Marinov
Advances in Neural Information Processing Systems 32, 2019
42019
Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs
TV Marinov, M Mohri, J Zimmert
Conference on Learning Theory, 5644-5649, 2022
32022
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives
R Arora, TV Marinov, E Ullah
arXiv preprint arXiv:2002.09609, 2020
32020
Multiple-policy High-confidence Policy Evaluation
C Dann, M Ghavamzadeh, TV Marinov
International Conference on Artificial Intelligence and Statistics, 9470-9487, 2023
12023
Incentive-compatible Bandits: Importance Weighting No More
J Zimmert, TV Marinov
arXiv preprint arXiv:2405.06480, 2024
2024
Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization
TV Marinov, A Agarwal, M Trofin
arXiv preprint arXiv:2403.19462, 2024
2024
Leveraging User-Triggered Supervision in Contextual Bandits
A Agarwal, C Gentile, TV Marinov
arXiv preprint arXiv:2302.03784, 2023
2023
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