Corralling stochastic bandit algorithms R Arora, TV Marinov, M Mohri
International Conference on Artificial Intelligence and Statistics, 2116-2124, 2021
40 2021 Stochastic approximation for canonical correlation analysis R Arora, TV Marinov, P Mianjy, N Srebro
Advances in Neural Information Processing Systems 30, 2017
40 2017 Streaming Kernel PCA with Random Features E Ullah, P Mianjy, TV Marinov, R Arora
Advances in Neural Information Processing Systems 31, 2018
39 2018 Streaming Kernel PCA with Random Features E Ullah, P Mianjy, TV Marinov, R Arora
Advances in Neural Information Processing Systems 31, 2018
39 2018 Stochastic optimization for multiview representation learning using partial least squares R Arora, P Mianjy, T Marinov
International Conference on Machine Learning, 1786-1794, 2016
33 2016 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
29 2021 Bandits with feedback graphs and switching costs R Arora, TV Marinov, M Mohri
Advances in Neural Information Processing Systems 32, 2019
24 2019 Streaming principal component analysis in noisy setting TV Marinov, P Mianjy, R Arora
International Conference on Machine Learning, 3413-3422, 2018
23 2018 The Pareto Frontier of model selection for general Contextual Bandits TV Marinov, J Zimmert
Advances in Neural Information Processing Systems 34, 17956-17967, 2021
20 2021 Policy regret in repeated games R Arora, M Dinitz, TV Marinov, M Mohri
Advances in Neural Information Processing Systems 31, 2018
13 2018 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks J Abernethy, A Agarwal, TV Marinov, MK Warmuth
arXiv preprint arXiv:2305.17040, 2023
12 2023 Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization YA Ma, TV Marinov, T Zhang
arXiv preprint arXiv:2206.01836, 2022
6 2022 Efficient convex relaxations for streaming PCA R Arora, TV Marinov
Advances in Neural Information Processing Systems 32, 2019
4 2019 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
3 2022 Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives R Arora, TV Marinov, E Ullah
arXiv preprint arXiv:2002.09609, 2020
3 2020 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
2 2022 Multiple-policy High-confidence Policy Evaluation C Dann, M Ghavamzadeh, TV Marinov
International Conference on Artificial Intelligence and Statistics, 9470-9487, 2023
1 2023 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 COMPETING AGAINST ADAPTIVE AGENTS BY MINIMIZING COUNTERFACTUAL NOTIONS OF REGRET TV Marinov
Johns Hopkins University, 2021
2021